Hybrid Soft Computing Approaches : Research and Applications / edited by Siddhartha Bhattacharyya, Paramartha Dutta, Susanta Chakraborty
Contributor(s): SpringerLink (Online service)
| Bhattacharyya, Siddhartha,, editor literario | Dutta, Paramartha, editor literario | Chakraborty, Susanta, editor literario
Material type: 
E-bookSeries: (Studies in Computational Intelligence, 1860-949X; 611).Publisher: New Delhi : Springer India, 2016Edition: 1st ed.Description: 1 recurso en línea (XIV, 457 páginas) : 154 ilustraciones.ISBN: 9788132225447.Subject: Ingeniería del software | Inteligencia artificialDDC classification: 006.3 Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
Abstract: 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.
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QA76.9.S63 H937 2016 EB (Browse shelf(Opens below)) | .i11600585 | Acceso electrónico | eBOOK .i11600585 |
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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