Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms - Tapa blanda

Sinopsis

Foreword; P.P. Wang. Editor's Preface; Da Ruan. Part 1: Basic Principles and Methodologies. 1. Introduction to Fuzzy Systems, Neural Networks, and Genetic Algorithms; H. Takagi. 2. A Fuzzy Neural Network for Approximate Fuzzy Reasoning; L.P. Maguire, et al. 3. Novel Neural Algorithms for Solving Fuzzy Relation Equations; Xiaozhong Li, Da Ruan. 4. Methods for Simplification of Fuzzy Models; U. Kaymak, et al. 5. A New Approach of Neurofuzzy Learning Algorithm; M. Mizumoto, Yan Shi. Part 2: Data Analysis and Information Systems. 6. Neural Networks in Intelligent Data Analysis; Xiaohui Liu. 7. Data-Driven Identification of Key Variables; Bo Yuan, G. Klir. 8. Applications of Intelligent Techniques in Process Analysis; J. Angstenberger, R. Weber. 9. Neurofuzzy-Chaos Engineering for Building Intelligent Adaptive Information Systems; N.K. Kasabov, R. Kozma. 10. A Sequential Training Strategy for Locally Recurrent Neural Networks; Jie Zhang, A.J. Morris. Part 3: Nonlinear Systems and System Identification. 11. Adaptive Genetic Programming for System Identification; A. Bastian. 12. Nonlinear System Identification with Neurofuzzy Methods; O. Nelles. 13. A Genetic Algorithm for Mixed-Integer Optimisation in Power and Water System Design and Control; Kai Chen, et al. 14. Soft Computing Based Signal Prediction, Restoration, and Filtering; E. Uchino, T. Yamakawa. Subject Index.

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