- eBook:Neural Networks, Fuzzy Systems and Evolutionary Algorithms
- Author:G. A. Vijayalakshmi, Pai S. Rajasekaran
- Edition:2 edition
- Data:January 1, 2017
- Pages:572 pages
Description of Neural Networks, Fuzzy Systems and Evolutionary Algorithms ebook
Every architecture has been discussed in detail through illustrative examples and applications. The algorithms have been presented in pseudo-code with a step-by-step illustration of the same in problems. The applications, demonstrative of the potential of the architectures, have been chosen from diverse disciplines of science and engineering.
This book, with a wealth of information that is clearly presented and illustrated by many examples and applications, is designed for use as a text for the courses in soft computing at both the senior undergraduate and first-year postgraduate levels of computer science and engineering. It should also be of interest to researchers and technologists desirous of applying soft computing technologies to their respective fields of work.
NEW TO THE SECOND EDITION
•New chapters on Extreme Learning Machine, Type-2 Fuzzy Sets, Evolution Strategies, Differential Evolution, and Evolutionary Extreme Learning Machine.
•Revised chapters on Introduction to Artificial Intelligence Systems, Fuzzy Set Theory, and Integration of Neural Networks, Fuzzy Set Theories, and Evolutionary Algorithms.
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