Intelligent Hybrid Systems

Intelligent Hybrid Systems

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Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms is an organized edited collection of contributed chapters covering basic principles, methodologies, and applications of fuzzy systems, neural networks and genetic algorithms. All chapters are original contributions by leading researchers written exclusively for this volume. This book reviews important concepts and models, and focuses on specific methodologies common to fuzzy systems, neural networks and evolutionary computation. The emphasis is on development of cooperative models of hybrid systems. Included are applications related to intelligent data analysis, process analysis, intelligent adaptive information systems, systems identification, nonlinear systems, power and water system design, and many others. Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms provides researchers and engineers with up-to-date coverage of new results, methodologies and applications for building intelligent systems capable of solving large-scale problems.LG Electric developed an air conditioner that implemented a user-trainable NN trained by a GA [Shin et al., 1995]. The NNs in RCEa#39;s air conditioners inputs room temperature, outdoor temperature, time, and user-set temperature, and outputs ... 5.5 NN-based fitness function for GA Figure 1 FNN for a 3 input problem with 2.


Title:Intelligent Hybrid Systems
Author: Da Ruan
Publisher:Springer Science & Business Media - 2012-12-06
ISBN-13:

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