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Book Categories |
Foreword | ||
Preface | ||
1 | Introduction to Hybrid Artificial Intelligence Systems | 1 |
2 | Foundations of Fuzzy Approaches | 13 |
3 | Fuzzy Relations | 49 |
4 | Fuzzy Numbers | 77 |
5 | Linguistic Descriptions and Their Analytical Forms | 105 |
6 | Fuzzy Control | 145 |
7 | Fundamentals of Neural Networks | 191 |
8 | Backpropagation and Related Training Algorithms | 229 |
9 | Competitive, Associative, and Other Special Neural Networks | 289 |
10 | Dynamic Systems and Neural Control | 333 |
11 | Practical Aspects of Using Neural Networks | 385 |
12 | Fuzzy Methods in Neural Networks | 409 |
13 | Neural Methods in Fuzzy Systems | 445 |
14 | Selected Hybrid Neurofuzzy Applications | 471 |
15 | Dynamic Hybrid Neurofuzzy Systems | 493 |
16 | Expert Systems in Neurofuzzy Systems | 523 |
17 | Genetic Algorithms | 539 |
18 | Epilogue | 561 |
App | T Norms and S Norms | 567 |
Index | 575 |
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