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Hybrid soft computing approachesrese...

Bhattacharyya, Siddhartha.

Hybrid soft computing approachesresearch and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Hybrid soft computing approachesedited by Siddhartha Bhattacharyya, Paramartha Dutta, Susanta Chakraborty.
Reminder of title:	research and applications /
other author:	Bhattacharyya, Siddhartha.
Published:	New Delhi :Springer India :2016.
Description:	xiv, 457 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Soft computing.
Online resource:	http://dx.doi.org/10.1007/978-81-322-2544-7
ISBN:	9788132225447$q(electronic bk.)

Hybrid soft computing approachesresearch and applications /
Hybrid soft computing approachesresearch and applications /[electronic resource] :edited by Siddhartha Bhattacharyya, Paramartha Dutta, Susanta Chakraborty. - New Delhi :Springer India :2016. - xiv, 457 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.6111860-949X ;. - Studies in computational intelligence ;v. 216..

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 ParaOptiMUSIG 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.

ISBN: 9788132225447$q(electronic bk.)

Standard No.: 10.1007/978-81-322-2544-7doiSubjects--Topical Terms:

182083
Soft computing.

LC Class. No.: QA76.9.S63

Dewey Class. No.: 006.3

Hybrid soft computing approachesresearch and applications /
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245 0 0 $a Hybrid soft computing approaches $h [electronic resource] : $b research and applications / $c edited by Siddhartha Bhattacharyya, Paramartha Dutta, Susanta Chakraborty.
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520 $a 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 ParaOptiMUSIG 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.
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