Connectionist Expert System


Connectionist Expert System

See also:

100 Best Expert System Videos | Conversational Expert | Diagnostic Expert Systems | Expert Systems | JESS (Java Expert System Shell) 2011 | Medical Expert Systems


Automated generation of connectionist expert systems for problems involving noise and redundancy SI Gallant – arXiv preprint arXiv:1304.2735, 2013 – arxiv.org Abstract: When creating an expert system, the most difficult and expensive task is constructing a knowledge base. This is particularly true if the problem involves noisy data and redundant measurements. This paper shows how to modify the MACIE process for … Cited by 13 Related articles All 4 versions

[BOOK] Hybrid neural network and expert systems LR Medsker – 2012 – books.google.com Page 1. HYERD NEURAL NETWORK AND EXPERT SYSTEMS Larry R. Medsker Springer Science+Business Media, LLC Page 2. HYBRID NEURAL NETWORK AND EXPERT SYSTEMS Page 3. HYBRID NEURAL NETWORK … Cited by 190 Related articles All 5 versions

Hybrid expert systems: A survey of current approaches and applications S Sahin, MR Tolun, R Hassanpour – Expert Systems with Applications, 2012 – Elsevier … hybrid expert systems. To the best of our knowledge, it is the first study which provides a detailed review on different perspectives of hybrid expert system and connectionist expert system approaches. Six research questions … Cited by 42 Related articles All 5 versions

Computer-based diagnostic expert systems in rheumatology: where do we stand in 2014? H Alder, BA Michel, C Marx, G Tamborrini… – International journal of …, 2014 – hindawi.com … 37, no. 5, pp. 760–770, 1994. View at Publisher · View at Google Scholar · View at Scopus; JM Barreto and FM de Azevedo, “Connectionist expert systems as medical decision aid,” Artificial Intelligence in Medicine, vol. 5, no. 6, pp. 515–523, 1993. … Related articles All 8 versions

The induction of probabilistic rule sets—the Itrule algorithm RMGP Smyth – Machine Learning Proceedings 1989, 2014 – books.google.com … Canada. RM Goodman, JW Miller, and P. Smyth (1989a),“An information-theoretic approach to rule-based connectionist expert systems, in Advances in Neural Information Processing (D. Touretzky, ed.), Morgan Kaufmann. … Cited by 39 Related articles All 2 versions

Connectionist expert system to diagnose neck and arm pain ST Selvi – Defence Science Journal, 2013 – publications.drdo.gov.in Abstract A connectionist expert system (CES) called BIONET aimed at assisting physicians in the diagnosis of diseases, such as neck and arm pain has been proposed. BIONET is an artificial network or connectionist network model capable of classifying diseases. Need for … Related articles All 4 versions

Computer Engineering Department T Kohonen, K Mäkisara, O Simula… – Artificial Neural …, 2014 – books.google.com … K. Mäkisara, O. Simula and J. Kangas (Editors) © Elsevier Science Publishers BV (North-Holland), 1991 1363 Performance Evaluation Of Extended Backpropagation Rule For Generating Networks Of Connectionist Expert Systems Walid ABU … Related articles

Bayesian assessment of a connectionist model for fault detection SI Gallant – arXiv preprint arXiv:1304.2354, 2013 – arxiv.org … We then prove relationships between Bayesian and connectionist models for a more general class of fault detection (or pat tern recognition) problems. For general background on connectionist expert systems see [3]. . · 2 The “Lemonade” Fault Detection Problem … Cited by 7 Related articles All 5 versions

An expert system for continuous steel casting using neural networks AB Bulsari, M Sillanpaa, H Saxéen – Ref, 2014 – books.google.com … Gallant, SI,“Connectionist Expert Systems”, Comm. ACM (February 1988) 152–169. 3. Chan, SC. and FH. Nah,“Fuzzy Neural Logic Network and its Learning Algorithms”, Proc. of HICSS-24, Koloa, Hawaii, IEEE Computer Society Press, Los Alamitos, CA, USA, Vol. … Cited by 3 Related articles All 2 versions

[BOOK] Hybrid intelligent systems LR Medsker – 2012 – books.google.com Page 1. HY BRID INTELLIGENT SYSTEMS LARRY R. MEDSKER foreword by Lotfi A. Zadeh SPRINGER SCIENCE+BUSINESS MEDIA, LLC Page 2. Hybrid Intelligent Systems Page 3. Hybrid Intelligent Systems by Larry R. Medsker … Cited by 324 Related articles All 4 versions

Evolving connectionist systems for adaptive learning and knowledge discovery: Trends and directions NK Kasabov – Knowledge-Based Systems, 2015 – Elsevier … The first hybrid connectionist expert systems combined NN and propositional type of rules – either production rules, implemented in CLIPS [14], [15], [16], [17] and [18], 94–96; or first order logic rules implemented in PROLOG [19]. … Cited by 1 Related articles All 4 versions

A Novel Expert System for Non-invasive Liver Iron Overload Estimation in Thalassemic Patients A Farruggia, L Agnello, P Toia… – … (CISIS), 2014 Eighth …, 2014 – ieeexplore.ieee.org … Referenceless Thermometry using Radial Basis Function Interpolation. WSCAR 2014, Sousse, Tunisia. [10] Shah, TP, & Shah, PJ (2013). Connectionist Expert System for Medical Diagnosis using ANN–A case study of skin disease Scabies. … Related articles All 3 versions

[BOOK] Artificial neural networks K Mäkisara, O Simula, J Kangas, T Kohonen – 2014 – books.google.com … II-1357 Neural Knowledge Data Bases and Non-rule-based Decision Making Organizers: I. Aleksander and M. Syrjänen Performance Evaluation of the Extended Backpropagation Rule for Generating Networks of Connectionist Expert Systems W. Abu-Salameh, MR Tolun … Cited by 47 Related articles

An explanation mechanism for integrated rules J Prentzas, I Hatzilygeroudis – … Workshop on Combinations …, 2012 – aigroup.ceid.upatras.gr … The explanation mechanism is integrated in its nature by combining neurocomputing with symbolic processes. Therefore, the provided explanations are more natural compared to those offered by connectionist expert systems. … Cited by 3 Related articles All 4 versions

Combining explanation-based learning and artificial neural networks JWSGG Towell – Machine Learning Proceedings 1989, 2014 – books.google.com … 42-46. [Gallant88] SI Gallant,” Connectionist Expert Systems,” Communications of the Association for Computing Machinery 31, 2 (1988), pp. 152-169. [Lebowitz86] M. Lebowitz,” Integrated Learning: Controlling Explanation,” Cognitive Science 10, 2 (1986), pp. 219–240. … Cited by 13 Related articles All 2 versions

Symbolic-neural rule based reasoning and explanation I Hatzilygeroudis, J Prentzas – Expert Systems with Applications, 2015 – Elsevier … More efficient and natural explanation compared to connectionist expert systems. Abstract. … As shown by experiments, the neurule-based explanation mechanism is superior to that provided by known connectionist expert systems, another neuro-symbolic integration category. … Cited by 1 Related articles All 2 versions

[BOOK] Artificial Neural Nets and Genetic Algorithms: Proceedings of the International Conference in Norwich, UK, 1997 GD Smith, NC Steele, RF Albrecht – 2012 – books.google.com … for Epidemiological Data: Modelling Heterogeneity and Reduction of Input Correlations MH Lamers, JN Kok and E. Lebret A Hybrid Expert System Architecture for Medical Diagnosis LM Brasil, FM de Azevedo and JM Barreto Enhancing Connectionist Expert Systems by IAC …

Improving efficiency of merging symbolic rules into integrated rules: splitting methods and mergability criteria J Prentzas, I Hatzilygeroudis – Expert Systems, 2015 – Wiley Online Library … This leads to theory refinement. Furthermore, connectionist expert systems are considered as integrated systems that represent relationships between concepts associated with nodes in a neural network (Gallant, 1993; Ghalwash, 1998). … 2.1 Connectionist expert systems. … Related articles

Automatic monitor for the step utilization of deep geothermal well based on expert systems L Binbin, S Liankun – Mechatronics and Control (ICMC), 2014 …, 2014 – ieeexplore.ieee.org … [2] He Manchao,Qu Xiaohong, Analysis of energy consumption of groundwater source heat pump, Geothermics ,2010 [3] Stephen L.Gallant, ”Connectionist Expert Systems” Comm.of the ACM 31(2),pp.152-169,Feb.1988 [4] Dong Haiying .The Knowledge Representation Study …

Adaptive fault diagnosis of large interconnected power networks using genetic algorithms TN Nagabhushana… – Journal of the Indian …, 2013 – journal.library.iisc.ernet.in … YOSHITERU UEKI power systems based on waveform recognition approach. electrical engineering in Japan, 1992, 112, pp 80-88. 7. JIANN-LIANG CHEN et al. A connectionist expert system for fault diagnosis. Electrical Power Systems Research. 24, 1992. pp 99-103. … Cited by 7 Related articles All 3 versions

Enterprise systems in financial sector–an application in precious metal trading forecasting X Chen, Y Fang – Enterprise Information Systems, 2013 – Taylor & Francis … accuracy. Moreover, this method can also be integrated with many other approaches including connectionist expert systems to improve the prediction quality further (Shi et al. 199925. Shi , S. , Xu , L. and Liu , B. 1999. Improving … Cited by 21 Related articles All 5 versions

A Simple Screening for High-Risk Pregnancies in Rural Areas Based Expert System R Supriyanti, A Fariz, T Septiana… – TELKOMNIKA ( …, 2015 – journal.uad.ac.id … Shah, Trupti P, Pooja J. Shah, ‘Connectionist Expert System for Medical Diagnosis using ANN– A case study of skin disease Scabies’, International Journal of Advanced Research in Computer Science and Software Engineering, 2013, Volume 3, Issue 8, pp 227-230. … Related articles All 2 versions

Connectionist and Genetic Approaches for Information Retrieval M Boughanem, C Chrisment, J Mothe… – Soft Computing in …, 2013 – books.google.com … This process is repeated until there is no further improvement. Other systems [20, 25] perform symbolic induction using GA and a fuzzy connectionist expert system. Some results from empirical studies are dis- cussed in [25]. … Related articles

[BOOK] Spatial economic science: new frontiers in theory and methodology A Reggiani – 2012 – books.google.com … Contents 10 11 12 13 14 15 16 17 Part II: New Frontiers in Decision-Making in a Complex Space-Economy Advances in Comparative Assessment Research in the Space-Economy PETER NIJKAMP A Hybrid Connectionist Expert System for Spatial Inference and Analysis YEE … Cited by 17 Related articles All 3 versions

Application of Naive Bayes dichotomizer supported with expected risk and discriminant functions in clinical decisions—Case study A Pratap, CS Kanimozhiselvi – Advanced Computing (ICoAC), …, 2012 – ieeexplore.ieee.org … Agent based multi expert synthesis for the diagnosis of communicative and cognitive neuro disorders”, National Conference on Computing and Communication,proc,2011 [7]. Anju Pratap: “Kanners syndrome diagnosis using connectionist expert system.”National Conference on … Cited by 5 Related articles

A new training algorithm using artificial neural networks to classify gender-specific dynamic gait patterns A Andrade, M Costa, L Paolucci, A Braga… – Computer methods in …, 2015 – Taylor & Francis … 1995. Development of a connectionist expert system to identify foot problems based on under-foot pressure patterns. Clin Biomech.10:385–391. … 1995. Development of a connectionist expert system to identify foot problems based on under-foot pressure patterns. … Cited by 1 Related articles All 4 versions

Face Skin Disease Recognation Using Fuzzy Subtractive Clustering Algorithm. AH RANGKUTI, ZE RASJID, M IMADUDDIN… – Journal of Theoretical …, 2015 – jatit.org … Patra, 2010; Kumar et al 2013). Other the connectionist expert system for medical diagnosis of the most common skin disease the Scabies using Artificial Neural Network (ANN) based classifier. The system helps the medical … Related articles All 2 versions

Multi-agents based data mining for intelligent decision support systems D Sharma, F Shadabi – Systems and Informatics (ICSAI), 2014 …, 2014 – ieeexplore.ieee.org … REFERENCES [1] Gallant, SI (1988), “Connectionist expert systems.” Communications of the ACM, 31 (2): 152-169. [2] Medsker, LR (1994), Hybrid Neural Network and Expert Systems., (Kluwer Academic Publishers, Boston). … Cited by 1 Related articles

Expert Systems In Gastrointestinal Diseases R Maceratini, S Crollari… – Medical Informatics Europe’ …, 2013 – books.google.com … 1985. [37] Yoshida K, Hayashi Y, mura A: A connectionist Expert System for diagnosing Hepatobiliary disorders. Medinfor 89 Proc.,(Amsterdam, North Holland), 1989, 116-120. Expert Systems in Gastrointestinal diseases 304 Related articles

Learning manuals M Hollender, J Schwinn – Integrated Systems Engineering, 2014 – books.google.com … 1. INTRODUCTION This paper describes an electronic manual with an integrated diagnostic connectionist expert system. … A framework for integrating fault diagnosis and incremental knowledge acquisition in connectionist expert systems. Proceedings AAAI- 92. … Cited by 1 Related articles

Hybrid Connectionist Rule-based Systems P Jorrand, V Sgurev – Artificial Intelligence IV: Methodology, …, 2014 – books.google.com … 1989, London, UK, 221– Page 252. 235 225 [6] Gallant, SI, Connectionist Expert Systems. in: Communication of the ACM,(1988), 152-169 [7] de Garis, H., COMPO-Conceptual Clustering with Connectionist Competetive Learning in: Proc. First IEE Int, Confon Artif. … Related articles

Fuzzy Neural Inference System for Pattern Recognition of Power Quality Events Using Rule Generation M Nayak, LK Behera – International Journal of Computer Science and …, 2013 – Citeseer … multiple notches due to power electronics converter operation. A connectionist expert system model based on a fuzzy version of a multilayer perceptron is used for fuzzy rule extraction from data. Each input feature F is expressed in … Cited by 1 Related articles All 2 versions

Neural Computing Approach to Development of Customer Profile Indicator for Financial Inventory Management SS Mishra – American Journal of Operational Research, 2014 – article.sapub.org … Till presently, the system has much grown with the momentous concept of hybrid systems including neuro fuzzy systems, connectionist symbolic models, fuzzy expert system, neural networks, connectionist expert system, rough fuzzy system and genetic system and genetic fuzzy … Cited by 1 Related articles All 2 versions

Knowledge Extraction from Artificial Neural Networks for Rainfall-Runoff Model Combination Systems P Phukoetphim, AY Shamseldin… – Journal of Hydrologic …, 2013 – ascelibrary.org Cited by 4 Related articles All 3 versions

Fuzzy DIFACONN-miner: A novel approach for fuzzy rule extraction from neural networks S Kulluk, L Özbak?r, A Baykaso?lu – Expert Systems with Applications, 2013 – Elsevier … There are several studies for fuzzy rule extraction reported in the literature. Among these studies, Mitra (1994) developed a fuzzy multi-layer perceptron (MLP) model and used it as a connectionist expert system for diagnosing hepatobiliary disorders. … Cited by 6 Related articles All 5 versions

Neural Data Analysis: Ensemble Neural Network Rule Extraction Approach and Its Theoretical and Historical Backgrounds Y Hayashi – Artificial Intelligence and Soft Computing, 2013 – Springer … IEEE Trans. Neural Netw. 11(3), 748–768 (2000) 15. Gallant, SI: Connectionist expert systems. Commun. ACM 31, 152–169 (1988) 16. Saito, K., Nakano, R.: Medical diagnosis expert systems based on PDP model. In: Proc. IEEE Int. Conf. Neural Netw, San Diego, CA, pp. … Cited by 4 Related articles All 2 versions

Optimal estimation and control of WECS via a genetic neuro fuzzy approach H Kasiri, MS Abadeh, HR Momeni – Energy, 2012 – Elsevier Megawatt class wind turbines generally turn at variable speed in wind farm. Thus turbine operation must be controlled in order to maximize the conversion effici. Cited by 7 Related articles All 9 versions

A novel fuzzy cause-and-effect-networks based methodology for a distribution system’s fault diagnosis M Mustafa, W El-Khattam, Y Galal – Electric Power and Energy …, 2013 – ieeexplore.ieee.org Page 1. 2013 3rd International Conference on Electric Power and Energy Conversion Systems, Yildiz Teclmical University, Istanbul, Turkey, October 2-4,2013 A Novel Fuzzy Cause-and-Effect- Networks Based Methodology for a Distribution System’s Fault Diagnosis … Related articles

Rule extraction from DEWNN to solve classification and regression problems N Naveen, V Ravi, CR Rao – Swarm, Evolutionary, and Memetic …, 2012 – Springer … neural networks. Know. Based Systems 8(6), 373–389 (1996) 4. Gallant, SI: Connectionist expert systems. Communications of the ACM 31(2), 152–169 (1988) 5. Fu, LM: Rule generation from neural networks. IEEE Transactions … Cited by 2 Related articles All 4 versions

Neural network rule extraction by a new ensemble concept and its theoretical and historical background: A review Y Hayashi – International Journal of Computational Intelligence and …, 2013 – World Scientific Page 1. NEURAL NETWORK RULE EXTRACTION BY A NEW ENSEMBLE CONCEPT AND ITS THEORETICAL AND HISTORICAL BACKGROUND: A REVIEW YOICHI HAYASHI Department of Computer Science Meiji University … Cited by 4 Related articles

Modeling paradigms for medical diagnostic decision support: a survey and future directions KB Wagholikar, V Sundararajan… – Journal of medical …, 2012 – dl.acm.org Cited by 30 Related articles All 10 versions

Diagnostics Decision Support System for Tuberculosis using Fuzzy Logic K Soundararajan, DS Sureshkumar… – International Journal of …, 2012 – ijcsits.org … Retrieved September 24, 2010, from http://www.iau.dtu.dk/secretary/pdf/cep2001_8f.pdf. [6].EH Shortlife (1976): ‘Computer-based medical consultation MYCIN’, (Elsevier/North-Holland) [7].Y. Yoon et al. (1990): ‘A connectionist expert system for dermatology diagnosis’ Expert … Cited by 6 Related articles All 2 versions

Fault diagnosis for distribution substations using fuzzy sagittal mapping analysis WH Chen, CS Yu – Journal of the Chinese Institute of Engineers, 2012 – Taylor & Francis … 199516. Yang , HT , Chang , WY and Huang , CL . 1995. On-line fault diagnosis of power substation using connectionist expert system. IEEE transactions on power systems, 10(1): 323–331. View all references, Lee et al. 2000a7. Lee , HJ , Ahn , BS and Park , YM . 2000a. … Cited by 1 Related articles All 3 versions

Can adaptive conjoint analysis perform in a preference logic framework A Giurca, I Schmitt, D Baier – Proceedings of 8th Workshop on Knowledge …, 2012 – Citeseer Page 1. Can Adaptive Conjoint Analysis perform in a Preference Logic Framework? 1 Adrian Giurca, Ingo Schmitt and Daniel Baier 1giurca, schmitt, daniel.baier 1@tu-cottbus.de Abstract. Research on conjoint analysis/preference … Cited by 2 Related articles All 3 versions

Pattern recognition of power quality events using Fuzzy neural network based rule generation LK Behera, M Nayak – Advances in Engineering, Science and …, 2012 – ieeexplore.ieee.org … multiple notches due to power electronics converter operation. A connectionist expert system model based on a fuzzy version of a multilayer perceptron is used for fuzzy rule extraction from data. Each input feature F is expressed in … Related articles All 3 versions

The Potential Use of Multi-agent and Hybrid Data Mining Approaches in Social Informatics for Improving e-Health Services D Sharma, F Shadabi – Big Data and Cloud Computing ( …, 2014 – ieeexplore.ieee.org … Contemporary Clinical Trials 33 (1): 237– 246. [14] Gallant, SI (1988), “Connectionist expert systems.” Communications of the ACM, 31 (2): 152-169. [15] Medsker, LR (1994), Hybrid Neural Network and Expert Systems., (Kluwer Academic Publishers, Boston). … Cited by 1 Related articles All 2 versions

Neurofuzzy Systems KL Du, MNS Swamy – Neural Networks and Statistical Learning, 2014 – Springer Logo Springer. Search Options: … Cited by 1 Related articles

Fault analysis in three phase transmission lines using k-nearest neighbor algorithm A Yadav, A Swetapadma – Advances in Electronics, Computers …, 2014 – ieeexplore.ieee.org … Power Delivery, vol. 6, pp. 648–655, Apr. 1991. [7]. HT Yang, WY Chang, and CL Huang, ”On line fault diagnosis of power substation using connectionist expert system,” IEEE Trans. Power Syst., vol. 10, pp. 323–331, Feb. 1995. … Related articles

[BOOK] Neural Networks: Advances and Applications, 2 E Gelenbe – 2014 – books.google.com Page 1. North-Holland Page 2. NEURAL NETWORKS Advances and Applications, 2 Page 3. This page intentionally left blank Page 4. NEURAL NETWORKS Advances and Applications, 2 Edited by Erol GELENBE Ministère de … Cited by 40 Related articles All 3 versions

Churn prediction using comprehensible support vector machine: An analytical CRM application MAH Farquad, V Ravi, SB Raju – Applied Soft Computing, 2014 – Elsevier Support vector machine (SVM) is currently state-of-the-art for classification tasks due to its ability to model nonlinearities. However, the main drawback of SV. Cited by 13 Related articles All 2 versions

Design and implementation of maximum power point tracking algorithm using fuzzy logic and genetic algorithm A Messai, A Mellit – Assessment and Simulation Tools for Sustainable …, 2013 – Springer … control. Part 1: offline system development and application. IEEE Proc Control Theor Appl 142(3):161–176MATHCrossRef. Machado RJ, Rocha AF (1992) A hybrid architecture for fuzzy connectionist expert systems. In: Kandel … Cited by 2 Related articles All 3 versions

Quantum Computing S Radhai, WJS Vinitha – International Journal of Innovative Research and …, 2014 – ijird.com … The intelligent system collectively employs a combination of methods and techniques from the field of artificial intelligence eg • Neuro-fuzzy systems • Hybrid-connectionist symbolic model • Fuzzy expert systems • Connectionist expert systems • Evolutionary neural networks … Cited by 1

Solar Flare M-Class Prediction Using Artificial Intelligence Techniques. A ZAVVARI, MT ISLAM, R ANWAR… – Journal of Theoretical …, 2015 – search.ebscohost.com … 2009, pp.1-14. http://arxiv.org/pdf/0909.3892v1.pdf. [3] G. Bradshaw, R. Fozzard, L. Ceci, “A connectionist expert system that actually works”, Advances in neural information processing systems, 1989, pp. 248-255. [4] RAF Borda … Related articles

Mining social-affective data to recommend student tutors E Boff, E Reategui – Advances in Artificial Intelligence–IBERAMIA 2012, 2012 – Springer … Artes Médicas, Porto Alegre (1995) 8. Nitzke, J., Carneiro, ML, Franco, S.: Ambientes de Aprendizagem Cooperativa Apoiada pelo Computador e sua Epistemologia. Informatica na educação: Teoria & Prática 5(1), 13–23 (2002) 9. Gallant, S.: Connectionist Expert Systems. … Cited by 3 Related articles All 3 versions

Fast fault section estimation in distribution control centers using adaptive genetic algorithm FB Leão, RAF Pereira, JRS Mantovani – International Journal of Electrical …, 2014 – Elsevier This paper presents a novel mathematical model for fast fault section estimation in a Distribution Control Center (DCC). The mathematical model is divided into. Cited by 2 Related articles All 6 versions

Integration, optimization and usability of enterprise applications R Iqbal, N Shah, A James, T Cichowicz – Journal of Network and Computer …, 2013 – Elsevier … Ferda and Swigger, 1996; N.Civelek-Alpaslan Ferda, M.,.K. Swigger; A temporal neural network model for constructing connectionist expert system knowledge bases. Journal of Network and Computer Applications, 19 (2) (1996), pp. 119–133. … Cited by 4 Related articles All 6 versions

A universal model of knowledge conflict resolving using consensus methods in multi-agent decision support systems A Bytniewski, M Hernes, K Matouk – Informatyka Ekonomiczna, 2013 – yadda.icm.edu.pl … 153-176. Subba Reddy NV, Nagabhushan P., A connectionist expert system model for conflict resolution in unconstrained handwritten numeral recognition, Mysore: Department of Computer Science and Engineering, SJ College of Engineering, 1997, pp. 161-169. … Related articles All 5 versions

UV-Curable Coating Process on CMYK-Printed Duplex Paperboard, Part I: Mechanical and Optical Properties M Soltani, R Veisi, AA Rohani, O Ramzani, HR Naji… – …, 2013 – ojs.cnr.ncsu.edu … 4100. Almutawa, S., and Moon, Y. (1999). “The development of a connectionist expert system for compensation of color deviation in offset lithographic printing,” Artificial Intelligence in Engineering 13, 427-34. Bergman, L. (2005). … Cited by 1 Related articles All 8 versions

A universal model of knowledge conflict resolving using consensus methods in multi-agent decision support systems M Hernes, K Matouk, A Bytniewski – Informatyka Ekonomiczna, 2013 – ceeol.com … 153-176. Subba Reddy NV, Nagabhushan P., A connectionist expert system model for conflict resolution in unconstrained handwritten numeral recognition, Mysore: Department of Computer Science and Engineering, SJ College of Engineering, 1997, pp. 161-169. … Related articles All 2 versions

Survey on the Family of the Recursive-Rule Extraction Algorithm Y Hayashi, T Takagi, H Mori, H Kikuchi… – Journal of …, 2014 – cosmosscholars.com … T. Arakawa, a head of the Strategic Coordination, Prof. K. Tsuchiya for their continuous encouragements. REFERENCES [1] Gallant SI, “Connectionist expert systems,” Commun. ACM, 1988; 31: 152-169. Page 8. Survey on the Family of the Recursive-Rule Extraction Algorithm … Cited by 1 Related articles All 2 versions

Kurdistan engineering colleges and using of artificial neural network for knowledge representation in learning process FB Baha’addin – Intl. J. Eng. and Innovative Tech, 2013 – ijeit.com Page 1. ISSN: 2277-3754 ISO 9001:2008 Certified International Journal of Engineering and Innovative Technology (IJEIT) Volume 3, Issue 6, December 2013 292 Abstract: The research presents the architecture and describes … Cited by 1 Related articles

Influences of misprediction costs on solar flare prediction X Huang, HN Wang, XH Dai – Science China Physics, Mechanics and …, 2012 – Springer … prediction. Astro- phys J, 2004, 609: 1134–1139 8 Wheatland M S. A statistical solar flare forecast method. Space Weather, 2005, 3: S07003 9 Fozzard R, Bradshaw G, Ceci L. A connectionist expert system that ac- tually works. Adv … Cited by 3 Related articles All 7 versions

Function analysis based rule extraction from artificial neural networks for transformer incipient fault diagnosis D Bhalla, RK Bansal, HO Gupta – International Journal of Electrical Power & …, 2012 – Elsevier Dissolved gas analysis (DGA) has been widely used for fault diagnosis in a transformer. Artificial neural networks (ANN) have high accuracy but are regarded as. Cited by 20 Related articles All 3 versions

On the Use of Support Vector Regression Technique for the Analysis of Rod Ejection Accidents B Jiang, Y Liu, F Zhao – … and the ASME …, 2012 – … .asmedigitalcollection.asme.org … Nucl. Sci., vol. 51, no. 2, pp. 313–321, Apr. 2004. [10] SW Cheon and SH Chang, “Application of neural networks to a connectionist expert system for transient identification in nuclear power plants,” Nucl. Technol., vol. 102, no. 2, pp. 177–191, May 1993. … Related articles All 5 versions

Monitoring severe accidents using AI techniques YG No, JH Kim, MG Na, DH Lim… – Nuclear Engineering and …, 2012 – koreascience.or.kr Page 1. MONITORING SEVERE ACCIDENTS USING AI TECHNIQUES YOUNG GYU NO1, JU HYUN KIM2, MAN GYUN NA2*, DONG HYUK LIM3, and KWANG-IL AHN1 1Korea Atomic Energy Research Institute Dukjin-dong … Cited by 10 Related articles All 9 versions

An accurate fuzzy logic-based fault classification algorithm using voltage and current phase sequence components M Saradarzadeh… – … Transactions on Electrical …, 2014 – Wiley Online Library Skip to Main Content. Wiley Online Library. Log in / Register. Log In E-Mail Address Password Forgotten Password? Remember Me. … Related articles

High-Level Visual Features GG TOWELL, JW SHAVLIK – Neural Networks for Perception: …, 2014 – books.google.com … [3] Li-Min Fu. Integration of neural heuristics into knowledge-based inference. Connection Science, 1: 325-340, 1989. [4] SI Gallant. Connectionist expert systems. Communications of the ACM, 31: 152–169, 1988. [5] LO Hall and SG Romaniuk. … Related articles

Mining social and affective data for recommendation of student tutors E Boff, EB Reategui – IJIMAI, 2013 – dialnet.unirioja.es … IEEE Transactions on Software Engineering, 38(3): 707-735. [10] Gallant, S. 1988. Connectionist Expert Systems. Communications of the ACM, Vol. 31, Issue 2. [11] Georgeff, MP and Wallace, CS 1984. A General Selection Criterion for Inductive Inference. … Related articles All 3 versions

Analytical CRM in banking and finance using SVM: a modified active learning-based rule extraction approach MAH Farquad, V Ravi, SB Raju – International Journal of …, 2012 – inderscienceonline.com Cited by 6 Related articles All 3 versions

Assessing, exploring, and monitoring quality of offset colour prints J Lundström, A Verikas, E Tullander, B Larsson – Measurement, 2013 – Elsevier Variations in offset print quality relate to numerous parameters of printing press and paper. To maintain a constant high print quality press operators need to. Cited by 3 Related articles All 4 versions

Acquisition From Imperfect G Piatetsky-Shapiro – … in Information Systems: From Needs to …, 2012 – books.google.com Page 167. 6 KNOWLEDGE DISCOVERY AND ACQUISITION FROM IMPERFECT INFORMATION Gregory Piatetsky-Shapiro GTE Laboratories Incorporated 40 Sylvan Road Waltham, Massachusetts 02154, USA 1 INTRODUCTION … Related articles

Prediction of the reactor vessel water level using fuzzy neural networks in severe accident circumstances of NPPs SH Park, DS Kim, JH Kim, MG Na – Nuclear Engineering and Technology, 2014 – Elsevier Safety-related parameters are very important for confirming the status of a nuclear power plant. In particular, the reactor vessel water level has a direct impa. Cited by 4 Related articles All 6 versions

Review and Improvement of Several Optimal Intelligent Pitch Controllers and Estimator of WECS via Artificial Intelligent Approaches H Kasiri, HR Momeni, MS Abadeh – Complex System Modelling and …, 2015 – Springer Page 1. Review and Improvement of Several Optimal Intelligent Pitch Controllers and Estimator of WECS via Artificial Intelligent Approaches Hadi Kasiri, Hamid Reza Momeni and Mohammad Saniee Abadeh Abstract Wind turbines … Related articles All 2 versions

Transformer failure diagnosis by means of fuzzy rules extracted from Kohonen Self-Organizing Map ACM da Silva, ARG Castro, V Miranda – International Journal of Electrical …, 2012 – Elsevier This paper presents a transformer failure diagnosis system based on Dissolved Gases Analysis that was developed by using a new methodology for extracting fuzzy. Cited by 9 Related articles All 3 versions

ANN Model to Predict Fracture Characteristics of High Strength and Ultra High Strength Concrete Beams P Samui – 2014 – techscience.com Page 1. Copyright © 2014 Tech Science Press CMC, vol.41, no.3, pp.193-213, 2014 ANN Model to Predict Fracture Characteristics of High Strength and Ultra High Strength Concrete Beams Yuvaraj P1, A Ramachandra Murthy2, Nagesh R Iyer3, SK Sekar4 and Pijush Samui5 … Related articles All 2 versions

Neural Signal Understanding For Instrumentation LF Pau, F Johansen – Traditional and Non-Traditional Robotic …, 2012 – books.google.com … Lapedes, R. Farber, Non linear signal processing using neural net- works: prediction and system modelling, TR Los Alamos National Lab., Los Alamos, NM 87545, July 1987 D. Gabor et al., Proceedings IEE, Vol 1088, July 1960 SI Gallant, Connectionist expert systems, Comm. … Related articles

Prediction of hydrogen concentration in containment during severe accidents using fuzzy neural network DY Kim, JH Kim, KH Yoo, MG Na – Nuclear Engineering and Technology, 2015 – Elsevier Recently, severe accidents in nuclear power plants (NPPs) have become a global concern. The aim of this paper is to predict the hydrogen buildup within containm. Cited by 1 Related articles All 4 versions

QSVM: A Support Vector Machine for Rule Extraction G Bologna, Y Hayashi – Advances in Computational Intelligence, 2015 – Springer Page 1. QSVM: A Support Vector Machine for Rule Extraction Guido Bologna1(B) and Yoichi Hayashi2 1 University of Applied Sciences of Western Switzerland, Rue de la Prairie 4, 1202 Geneva, Switzerland Guido.Bologna …

Artificial Neural Networks Of The Perceptron, Madaline, And Backpropagation Family B Widrow, MA Lehr – 2014 – books.google.com Page 144. Neurobionics/HW. Bothe, M. Samii and R. Eckmiller (Editors) © 1993 Elsevier Science Publishers BV All rights reserved. 133 ARTIFICIAL NEURAL NETWORKS OF THE PERCEPTRON, MADALINE, AND BACKPROPAGATION … Cited by 1 Related articles All 6 versions

Automatic defect identification on PWR nuclear power station fuel pellets AF de Oliveira, AC de Abreu Mól, CMF Lapa… – … Engineering and Design, 2012 – Elsevier This article presents a new automatic identification technique of structural failures in nuclear green fuel pellet. This technique was developed to identify fai. Related articles All 5 versions

Prediction of ground reaction forces during gait based on kinematics and a neural network model SE Oh, A Choi, JH Mun – Journal of biomechanics, 2013 – Elsevier Kinetic information during human gait can be estimated with inverse dynamics, which is based on anthropometric, kinematic, and ground reaction data. While colle. Cited by 20 Related articles All 5 versions

Representing Nuclear Criticality Excursion Experiment Data by an Artificial Neural Network PL Angelo – Nuclear Technology, 2015 – ans.org Page 1. REPRESENTING NUCLEAR CRITICALITY EXCURSION EXPERIMENT DATA BY AN ARTIFICIAL NEURAL NETWORK PETER L. ANGELO* Y-12 National Security Complex, 301 Bear Creek Road, Oak Ridge, Tennessee 37831 … Related articles

An enhanced self-adaptive differential evolution based on simulated annealing for rule extraction and its application in recognizing oil reservoir H Guo, Y Li, X Liu, Y Li, H Sun – Applied Intelligence, 2015 – Springer Page 1. Appl Intell DOI 10.1007/s10489-015-0702-x An enhanced self-adaptive differential evolution based on simulated annealing for rule extraction and its application in recognizing oil reservoir Haixiang Guo1,2,3 · Yanan Li1 · Xiao Liu1 · Yijing Li1 · Han Sun1 …

Fuzzy Naïve Bayesian Approach for Medical Decision Support KB Wagholikar, AW Deshpande – Medical Applications of …, 2013 – books.google.com … Medicine and Biology Society, vol. 12, pp. 447–58, Jul 2008. JM Barreto and FM de Azevedo, Connectionist expert systems as medical decision aid, Artificial Intelligence in Medicine, vol. 5, pp. 515–23, Dec 1993. L. Godo, RL de … Related articles All 2 versions

Smart sensing of the RPV water level in NPP severe accidents using a GMDH algorithm SH Park, JH Kim, KH Yoo, MG Na – Nuclear Science, IEEE …, 2014 – ieeexplore.ieee.org … Nucl. Sci., vol. 51, no. 2, pp. 313–321, Apr. 2004. [8] SW Cheon and SH Chang, “Application of neural networks to a connectionist expert system for transient identification in nuclear power plants,” Nucl. Technol., vol. 102, no. 2, pp. 177–191, May 1993. … Cited by 2 Related articles All 3 versions

Learning And Tuning Of Fuzzy Rules HR Berenji – Fuzzy Systems: Modeling and Control, 2012 – books.google.com Page 307. 8 LEARNING AND TUNING OF FUZZY RULES Hamid R. Berenji Intelligent Inference Systems Corp. Computational Sciences Division, MS; 269-2 NASA Ames Research Center Mountain View, CA 94035 berenji (Optolemy. arc. nasa. … Related articles

[BOOK] Mind, body, world: Foundations of cognitive science MRW Dawson – 2013 – books.google.com Page 1. MIND, BODY, WORLD Page 2. OPEL (open paths to enriched learning) Series Editor: Connor Houlihan Open Paths to Enriched Learning (OPEL) reflects the continued commitment of Athabasca University to removing … Cited by 5 Related articles All 3 versions

Visual graph modeling for scene recognition and mobile robot localization TT Pham, P Mulhem, L Maisonnasse… – Multimedia Tools and …, 2012 – Springer Page 1. Multimed Tools Appl (2012) 60:419–441 DOI 10.1007/s11042-010-0598-8 Visual graph modeling for scene recognition and mobile robot localization Trong-Ton Pham·Philippe Mulhem· Loïc Maisonnasse·Eric Gaussier· Joo-Hwee Lim … Cited by 5 Related articles All 13 versions

Prediction of Leak Flow Rate Using Fuzzy Neural Networks in Severe Post-LOCA Circumstances DY Kim, KH Yoo, JH Kim, MG Na… – Nuclear Science, IEEE …, 2014 – ieeexplore.ieee.org … Nucl. Sci., vol. 51, no. 2, pp. 313–321, Apr. 2004. [12] SW Cheon and SH Chang, “Application of neural networks to a connectionist expert system for transient identification in nuclear power plants,” Nucl. Technol., vol. 102, no. 2, pp. 177–191, May 1993. … Cited by 1 Related articles All 2 versions

Breast abnormality detection in mammograms using Artificial Neural Network LM Mina, M Isa, N Ashidi – Computer, Communications, and …, 2015 – ieeexplore.ieee.org … Cancer (WDBC) 32.569 (2012). [2] Shah, Trupti P., and Pooja J. Shah. ”Connectionist Expert System for Medical Diagnosis using ANNA case study of skin disease Scabies.” International Journal 3.8 (2013). [3] Shortliffe, Edward H …

A non-parametric visual-sense model of images—extending the cluster hypothesis beyond text KW Wan, AH Tan, JH Lim, LT Chia – Multimedia Tools and Applications, 2012 – Springer Page 1. Multimed Tools Appl (2012) 56:509–534 DOI 10.1007/s11042-010-0615-y A non-parametric visual-sense model of images—extending the cluster hypothesis beyond text Kong-Wah Wan·Ah-Hwee Tan·Joo-Hwee Lim· Liang-Tien Chia … Cited by 1 Related articles All 8 versions

Application Of Regression And Neural Models To Predict Competitive Swimming Performance 1 A Maszczyk, R Roczniok, Z Wa?kiewicz… – Perceptual & Motor …, 2012 – amsciepub.com … Journal of Sports Science and Medicine, 5, 23–42. Barton, G., & Lees, A. (1993) Development of a connectionist expert system to identify foot problems based on under foot pressure patterns. Clinical Biomechanics, 10, 31–39. … Cited by 12 Related articles All 4 versions

Gait parameters associated with hallux valgus: a systematic review SE Nix, BT Vicenzino, NJ Collins, MD Smith – J Foot Ankle Res, 2013 – biomedcentral.com Page 1. REVIEW Open Access Gait parameters associated with hallux valgus: a systematic review Sheree E Nix1,2*, Bill T Vicenzino1, Natalie J Collins3,4 and Michelle D Smith1 Abstract Background: Hallux valgus (HV) has … Cited by 15 Related articles All 16 versions

Handwriting recognition in indian regional scripts: a survey of offline techniques U Pal, R Jayadevan, N Sharma – ACM Transactions on Asian Language …, 2012 – dl.acm.org Page 1. 1 Handwriting Recognition in Indian Regional Scripts: A Survey of Offline Techniques UMAPADA PAL, Indian Statistical Institute RAMACHANDRAN JAYADEVAN, Pune Institute of Computer Technology NABIN SHARMA, Indian Statistical Institute … Cited by 30 Related articles All 2 versions