Hybrid Soft Computing Approaches Research and Applications / [electronic resource] : edited by Siddhartha Bhattacharyya, Paramartha Dutta, Susanta Chakraborty. - 1st ed. 2016. - XIV, 457 p. 154 illus. online resource. - Studies in Computational Intelligence, 611 1860-9503 ; . - Studies in Computational Intelligence, 611 .

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.

9788132225447

10.1007/978-81-322-2544-7 doi


Computational intelligence.
Artificial intelligence.
Software engineering.
Computational Intelligence.
Artificial Intelligence.
Software Engineering.

Q342

006.3