Hybrid Soft Computing Approaches [recurso electrónico] : Research and Applications / edited by Siddhartha Bhattacharyya, Paramartha Dutta, Susanta Chakraborty.
Tipo de material:
TextoSeries Studies in Computational Intelligence ; 611Editor: New Delhi : Springer India : Imprint: Springer, 2016Edición: 1st ed. 2016Descripción: XIV, 457 p. 154 illus. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9788132225447Tema(s): Engineering | Software engineering | Artificial intelligence | Computational intelligence | Engineering | Computational Intelligence | Artificial Intelligence (incl. Robotics) | Software EngineeringFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q342Recursos en línea: Libro electrónico
En: Springer eBooksResumen: The book provides a platform for dealing with the flaws and failings of the soft computing paradigm through different manifestations. The different chaptershighlight 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 chaptersenhance the exhibition of the hybrid soft computing paradigm in the field of intelligent computing.
| Tipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
|---|---|---|---|---|---|---|---|
| Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | 1 | No para préstamo |
The book provides a platform for dealing with the flaws and failings of the soft computing paradigm through different manifestations. The different chaptershighlight 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 chaptersenhance the exhibition of the hybrid soft computing paradigm in the field of intelligent computing.
