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Hybrid soft computing approaches[electronic resource] :research and applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.3
書名/作者:	Hybrid soft computing approaches : research and applications // edited by Siddhartha Bhattacharyya, Paramartha Dutta, Susanta Chakraborty.
其他作者:	Bhattacharyya, Siddhartha.
出版者:	New Delhi : : Springer India :, 2016.
面頁冊數:	xiv, 457 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Soft computing.
標題:	Software engineering.
標題:	Engineering.
標題:	Computational Intelligence.
標題:	Artificial Intelligence (incl. Robotics)
標題:	Software Engineering.
ISBN:	9788132225447
ISBN:	9788132225430
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-81-322-2544-7

Hybrid soft computing approaches[electronic resource] :research 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.379..

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

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

193340
Soft computing.

LC Class. No.: QA76.9.S63

Dewey Class. No.: 006.3

Hybrid soft computing approaches[electronic resource] :research and applications /
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