ENGLISH

Introduction to Neuro-Fuzzy Systems

Book information

Publisher
Springer
Year
2000
ISBN
978-3-7908-1852-9
Language
english
Format
PDF
Filesize
7 MB (7843702 bytes)
Pages
298\298
Time added
2019-02-23 18:13:52

Description

Preface......Page 3 Contents......Page 9 Intro to Fuzzy Logic......Page 11 Operations on Fuzzy Sets......Page 21 Fuzzy Relations......Page 28 Extension Principle......Page 36 Extension Principle for n-Place Functions......Page 39 Metrics for Fuzzy Numbers......Page 49 Measures of Possibility & Necessity......Page 51 Fuzzy Implications......Page 55 Linguistic Variables......Page 59 Theory of Approximate Reasoning......Page 63 Intro to Fuzzy Logic Controllers......Page 81 Defuzzification Methods......Page 88 Inference Mechanisms......Page 91 Construction of Data Base & Rule Base of FLC......Page 96 Ball & Beam Problem......Page 101 Aggregation in Fuzzy System Modeling......Page 105 Averaging Operators......Page 108 Fuzzy Screening Systems......Page 119 Applications of Fuzzy Systems......Page 125 Biblio......Page 129 Perceptron Learning Rule......Page 142 Delta Learning Rule......Page 152 Delta Learning Rule with Semilinear Activation Function......Page 158 Generalized Delta Learning Rule......Page 163 Effectivity of NNs......Page 166 Winner-take-all Learning......Page 169 Applications of ANNs......Page 173 Biblio......Page 178 Integration of Fuzzy Logic & NNs......Page 180 Fuzzy Neurons......Page 184 Hybrid NNs......Page 193 Computation of Fuzzy Logic Inferences by Hybrid NN......Page 204 Trainable NNs for Fuzzy IF-THEN Rules......Page 210 Fuzzy Rules by Regular FNN of Type 2......Page 217 Fuzzy Rules by Regular FNN of Type 3......Page 221 Tuning Fuzzy Control Parameters by NNs......Page 225 Fuzzy Rule Extraction from Numerical Data......Page 233 Neuro-Fuzzy Classifiers......Page 237 FULLINS......Page 244 Applications of Fuzzy Neural Systems......Page 249 Biblio......Page 254 Case Study - Portfolio Problem......Page 264 Exercises......Page 271 Index......Page 296

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