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Hybrid Soft Computing Approaches: Research and Applications

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.

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Detail Information
Series Title
-
Call Number
004
Publisher
: .,
Collation
XIV, 457
Language
English
ISBN/ISSN
978-81-322-2543-0
Classification
004
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
-
Subject(s)
Computational Intelligence,
Specific Detail Info
-
Statement of Responsibility
Other Information
Cataloger
Khusnun
Source
-
Validator
-
Other version/related

No other version available

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