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Neuro-Fuzzy and soft computing: A computational approach to learning and machine intelligence/ Jyh-Shing Roger Jang

By: Jang, Jyh -Shing RogerMaterial type: TextTextLanguage: Spanish Publisher: New Jersey : Pearson 1997Description: 614 páginasISBN: 0132610663Subject(s): Inteligencia artificial | Redes neuronales (Computadores)DDC classification: 006.3
Contents:
Introduction to Neuro-fuzzy and soft computing 2.Fuzzy set theory 3.Fuzzy rules and fuzzy reasoning 4.Fuzzy inference systems 5.Least-squares methodsfor system identification 6.Derivative-based optimization 7.Derivative-free optimization 8.Adaptive Networks 9.Supervised learning neural networks 10.Learning from reinforcement 11.Unsupervised learning and other neural networks 12.ANFIS:Adaptive neuro-fuzzy inference systems 13.CoactiveNeuro-fuzzy modeling: Towards generalized ANFIS 14.Classification and regression trees 15.Data clustering algorithms 16.Rulebase structure identification 17.Neuro-fuzzy control I 18.Neuro-fuzzy contol II 19.ANFIS Applications 20.Fuzzy-filtered neural networks 21.Fuzzy sets and genetic algorithms in game playing 22.Soft computing for color recipe prediction
Action note: Verificado 24-08-2021
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Introduction to Neuro-fuzzy and soft computing 2.Fuzzy set theory 3.Fuzzy rules and fuzzy reasoning 4.Fuzzy inference systems 5.Least-squares methodsfor system identification 6.Derivative-based optimization 7.Derivative-free optimization 8.Adaptive Networks 9.Supervised learning neural networks 10.Learning from reinforcement 11.Unsupervised learning and other neural networks 12.ANFIS:Adaptive neuro-fuzzy inference systems 13.CoactiveNeuro-fuzzy modeling: Towards generalized ANFIS 14.Classification and regression trees 15.Data clustering algorithms 16.Rulebase structure identification 17.Neuro-fuzzy control I 18.Neuro-fuzzy contol II 19.ANFIS Applications 20.Fuzzy-filtered neural networks 21.Fuzzy sets and genetic algorithms in game playing 22.Soft computing for color recipe prediction

Verificado 24-08-2021

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