Hybrid Soft Computing Approaches - Research and Applications (Hardcover, 1st ed. 2016)

The book provides a platform for dealing with the flaws and failings of the soft computing paradigm through different manifestations. The different chapters highlight the necessity of the hybrid soft computing methodology in general with emphasis on several application perspectives in particular. Typical examples include (a) Study of Economic Load Dispatch by Various Hybrid Optimization Techniques, (b) An Application of Color Magnetic Resonance Brain Image Segmentation by Para Optimus LG Activation Function, (c) Hybrid Rough-PSO Approach in Remote Sensing Imagery Analysis, (d) A Study and Analysis of Hybrid Intelligent Techniques for Breast Cancer Detection using Breast Thermograms, and (e) Hybridization of 2D-3D Images for Human Face Recognition. The elaborate findings of the chapters enhance the exhibition of the hybrid soft computing paradigm in the field of intelligent computing.

General

Imprint:	Springer, India, Private Ltd
Country of origin:	India
Series:	Studies in Computational Intelligence, 611
Release date:	August 2015
First published:	2016
Editors:	Siddhartha Bhattacharyya • Paramartha Dutta • Susanta Chakraborty
Dimensions:	235 x 155 x 25mm (L x W x T)
Format:	Hardcover
Pages:	457
Edition:	1st ed. 2016
ISBN-13:	978-81-322-2543-0
Categories:	Books > Computing & IT > Computer programming > Software engineering Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	81-322-2543-0
Barcode:	9788132225430

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