Hybrid Soft Computing Approaches

Hybrid Soft Computing Approaches

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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.Sudhakaran M, Ajay P, Vimal Raj D, Palanivelu TG (2007) Application of particle swarm optimization for economic load dispatch problems. In: The 14th international conference on intelligent system applications to power systems, ISAP 2007, anbsp;...

Title:Hybrid Soft Computing Approaches
Author: Siddhartha Bhattacharyya, Paramartha Dutta, Susanta Chakraborty
Publisher:Springer - 2015-08-21

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