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Real Life Applications of Soft Computing

Description

Supplying in-depth exposure to real life systems, the text provides:

Multi-dimensional coverage supported by references, figures, and tables

Warnings about common pitfalls in the implementation process, as well as detailed examinations of possible solutions

A timely account of developments in various areas of application

Solved examples and exercises in each chapter

Detailing a wide range of contemporary applications, the text includes coverage of those in biometric systems, including physiological and behavioral biometrics. It also examines applications in legal threat assessment, robotic path planning, and navigation control. The authors consider fusion methods in biometrics and bioinformatics and also provide effective disease identification techniques. 

Complete with algorithms for robotic path planning, the book addresses character recognition and presents the picture compression technique by using a customized hybrid algorithm. The authors conclude with a discussion of parallel architecture for artificial neural networks and supply guidelines for creating and implementing effective soft computing designs. 

Keywords

Soft computing Machine learning clustering artificial neutral networks Fuzzy inference systems Evolutionary algorithms Hybrid systems Physiological Biometrics Behavioral biometrics fusion methods Bioinformatics Biomedical systems Robotic path planning navigation control Character recognition

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