
Beginning with an overview of intelligent soft computing, the book offers exhaustive coverage of artificial neural networks (ANN), discussing in detail ANN tracking in all the three generations of neural networks and their developments. This is followed by detailed chapters discussing fuzzy logic features and applications. The chapter on genetic algorithms then explains various GA operators such as crossover and mutation with suitable examples and illustrations. Finally, swarm intelligent systems are illustrated in detail, also discussing the engineering applications of particle swarm intelligent systems. MATLAB codes have been used throughout the text to illustrate the applications of the concepts discussed.
This book investigates the fundamental principles and practical implementation of soft computing techniques to solve complex engineering problems. N.P. Padhy provides a comprehensive technical framework that bridges theoretical concepts with computational application. By utilizing MATLAB as a primary tool, the author demonstrates how to model and simulate intelligent systems, offering a structured approach for students and practitioners to understand the mechanics of modern computational intelligence.
What You Will Find
Experts recognize this text as a structured resource for engineering students seeking to integrate soft computing methods into their technical workflows. Readers frequently note the practical utility of the included MATLAB code in reinforcing the theoretical discussions presented throughout the chapters.
Page Count:
550
Publication Date:
2015-07-23
Publisher:
Oxford University Press, USA
ISBN-10:
0199455422
ISBN-13:
9780199455423
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