Intelligent Hybrid Systems

Edited by Da Ruan

in Springer Books from Springer

Date: 1997
ISBN: 978-1-4615-6191-0
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Chapters in this book:

Ch 1 Introduction to Fuzzy Systems, Neural Networks, and Genetic Algorithms

Hideyuki Takagi

Ch 2 A Fuzzy Neural Network for Approximate Fuzzy Reasoning

Liam P. Maguire, T. Martin McGinnity and Liam J. McDaid

Ch 3 Novel Neural Algorithms for Solving Fuzzy Relation Equations

Xiaozhong Li and Da Ruan

Ch 4 Methods for Simplification of Fuzzy Models

Uzay Kaymak, Robert Babuška, Magne Setnes, Henk B. Verbruggen and Hans R. van Nauta Lemke

Ch 5 A New Approach of Neurofuzzy Learning Algorithm

Masaharu Mizumoto and Yan Shi

Ch 6 Neural Networks in Intelligent Data Analysis

Xiaohui Liu

Ch 7 Data-Driven Identification of Key Variables

Bo Yuan and George Klir

Ch 8 Applications of Intelligent Techniques in Process Analysis

Joachim Angstenberger and Richard Weber

Ch 9 Neurofuzzy-Chaos Engineering for Building Intelligent Adaptive Information Systems

Nikola K. Kasabov and Robert Kozma

Ch 10 A Sequential Training Strategy for Locally Recurrent Neural Networks

Jie Zhang and A. Julian Morris

Ch 11 Adaptive Genetic Programming for System Identification

Andreas Bastian

Ch 12 Nonlinear System Identification with Neurofuzzy Methods

Oliver Nelles

Ch 13 A Genetic Algorithm for Mixed-Integer Optimisation in Power and Water System Design and Control

Kai Chen, Ian C. Parmee and Chris R. Gane

Ch 14 Soft Computing Based Signal Prediction, Restoration, and Filtering

Eiji Uchino and Takeshi Yamakawa

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DOI: 10.1007/978-1-4615-6191-0

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