Engineering Evolutionary Intelligent SystemsAjith Abraham, Crina Grosan, Witold Pedrycz Springer Science & Business Media, 2008. gada 3. janv. - 444 lappuses Evolutionary design of intelligent systems is gaining much popularity due to its capabilities in handling several real world problems involving optimization, complexity, noisy and non-stationary environment, imprecision, uncertainty and vagueness. This edited volume 'Engineering Evolutionary Intelligent Systems' deals with the theoretical and methodological aspects, as well as various evolutionary algorithm applications to many real world problems originating from science, technology, business or commerce. This volume comprises of 15 chapters including an introductory chapter which covers the fundamental definitions and outlines some important research challenges. Chapters were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed. |
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1.–5. rezultāts no 54.
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... global optima 135 3 The RPHS training algorithm . 137 3.1 Hybrid recursive training 137 3.2 Testing . 139 4 Summary of the RPHS algorithm . 139 5 The two spiral problem 140 6 Heuristics for making the RPHS algorithm better . 141 6.1 ...
... global approach to rule extraction from neural networks . 189 6 Conclusion 206 References 207 Cluster - wise Design of Takagi and Sugeno Approach of Fuzzy Logic Controller Tushar and Dilip Kumar Pratihar .. 1 Introduction 211 213 2 ...
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Engineering Evolutionary Intelligent Systems Ajith Abraham,Crina Grosan,Witold Pedrycz Ierobežota priekšskatīšana - 2008 |
Engineering Evolutionary Intelligent Systems Ajith Abraham,Crina Grosan,Witold Pedrycz Priekšskatījums nav pieejams - 2010 |