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D. Nauck
Book Chapter
Connectionist Fuzzy Relational Systems
Rafał Scherer and Leszek Rutkowski
Studies in Computational Intelligence, 2005, Volume 2, Computational Intelligence for Modelling and Prediction, Pages 35-47
Learning Algorithms for Neuro-Fuzzy Systems
D. D. Nauck
Studies in Fuzziness and Soft Computing, 2005, Volume 173, Do Smart Adaptive Systems Exist?, Pages 133-158
Regression Modeling with Fuzzy Relations
Rafał Scherer
Lecture Notes in Computer Science, 2008, Volume 5097, Artificial Intelligence and Soft Computing – ICAISC 2008, Pages 317-323
Constructing Accurate Fuzzy Rule-Based Classification Systems Using Apriori Principles and Rule-Weighting
S. M. Fakhrahmad, A. Zare and M. Zolghadri Jahromi
Lecture Notes in Computer Science, 2007, Volume 4881, Intelligent Data Engineering and Automated Learning - IDEAL 2007, Pages 547-556
Neuro-Fuzzy Relational Classifiers
Lecture Notes in Computer Science, 2004, Volume 3070, Artificial Intelligence and Soft Computing - ICAISC 2004, Pages 376-380
Neuro-fuzzy Systems with Relation Matrix
Lecture Notes in Computer Science, 2010, Volume 6113, Artificial Intelligence and Soft Computing, Pages 210-215
Pattern Classification with Linguistic Rules
Hisao Ishibuchi and Yusuke Nojima
Studies in Fuzziness and Soft Computing, 2008, Volume 220, Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, Pages 377-395
Evolutionary Multiobjective Design of Fuzzy Rule-Based Classifiers
Hisao Ishibuchi, Yusuke Nojima and Isao Kuwajima
Studies in Computational Intelligence, 2008, Volume 115, Computational Intelligence: A Compendium, Pages 641-685
Boosting Ensemble of Relational Neuro-fuzzy Systems
Lecture Notes in Computer Science, 2006, Volume 4029, Artificial Intelligence and Soft Computing – ICAISC 2006, Pages 306-313
Fuzzy Model for the Assessment of Operators’ Work in a Cadastre Information System
Dariusz Król, Grzegorz Stanisław Kukla, Tadeusz Lasota and Bogdan Trawiński
Lecture Notes in Computer Science, 2006, Volume 4253, Knowledge-Based Intelligent Information and Engineering Systems, Pages 774-781
Keywords: Fuzzy rule; Fuzzy system; Learning; Neural network; Neuro-fuzzy system; Rule weight
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