| Vorliegende Sprache |
eng |
| Hinweise auf parallele Ausgaben |
255807899 Buchausg. u.d.T.: ‡Metaheuristic procedures for training neural networks |
| ISBN |
978-0-387-33415-8 |
| Name |
Alba, Enrique |
| Martí, Rafael |
| Name ANZEIGE DER KETTE |
Martí, Rafael |
| T I T E L |
Metaheuristic Procedures for Training Neutral Networks |
| Verlagsort |
Boston, MA |
| Verlag |
Springer Science+Business Media, LLC |
| Erscheinungsjahr |
2006 |
| 2006 |
| Umfang |
Online-Ressource (XI, 250 p, digital) |
| Reihe |
Operations Research/Computer Science Interfaces Series ; 36 |
| Notiz / Fußnoten |
Includes bibliographical references and index |
| Weiterer Inhalt |
Classical Training Methods; Simulated Annealing; Tabu Search; Variable Neighbourhood Search; Estimation of Distribution Algorithms; Genetic Algorithms; Scatter Search; Ant Colony Optimization; Cooperative Coevolutionary Methods; Greedy Randomized Adaptive Search Procedures; Memetic Algorithms |
| Titelhinweis |
Buchausg. u.d.T.: ‡Metaheuristic procedures for training neural networks |
| ISBN |
ISBN 978-0-387-33416-5 |
| Klassifikation |
KJT |
| KJMD |
| BUS049000 |
| *90-06 |
| 68-06 |
| 00B15 |
| 658.40301 |
| 006.32 |
| HD30.23 |
| QH 422 |
| Kurzbeschreibung |
This book provides successful implementations of metaheuristic methods for neural network training. It is the first book to achieve this objective. Moreover, the basic principles and fundamental ideas given in the book will allow the readers to create successful training methods on their own. Overall, the book's aim is to provide a broad coverage of the concepts, methods, and tools of the important area of ANNs within the realm of continuous optimization. |
| 2. Kurzbeschreibung |
Metaheuristic Procedures For Training Neural Networks provides successful implementations of metaheuristic methods for neural network training. Moreover, the basic principles and fundamental ideas given in the book will allow the readers to create successful training methods on their own. Apart from Chapter 1, which reviews classical training methods, the chapters are divided into three main categories. The first one is devoted to local search based methods, including Simulated Annealing, Tabu Search, andVariable Neighborhood Search. The second part of the book presents population based methods, such as Estimation Distribution algorithms, Scatter Search, and Genetic Algorithms. The third part covers other advanced techniques, such as Ant Colony Optimization, Co-evolutionary methods, GRASP, and Memetic algorithms. Overall, the book's objective is engineered to provide a broad coverage of the concepts, methods, and tools of this important area of ANNs within the realm of continuous optimization. |
| 1. Schlagwortkette |
Optimierung |
| Neuronales Netz |
| Heuristische Programmierung |
| ANZEIGE DER KETTE |
Optimierung -- Neuronales Netz -- Heuristische Programmierung |
| 2. Schlagwortkette |
Optimierung |
| Kombinatorische Optimierung |
| Metaheuristik |
| ANZEIGE DER KETTE |
Optimierung -- Kombinatorische Optimierung -- Metaheuristik |
| 3. Schlagwortkette |
Optimierung |
| Kombinatorische Optimierung |
| Metaheuristik |
| ANZEIGE DER KETTE |
Optimierung -- Kombinatorische Optimierung -- Metaheuristik |
| SWB-Titel-Idn |
264336615 |
| Signatur |
Springer E-Book |
| Bemerkungen |
Elektronischer Volltext - Campuslizenz |
| Elektronische Adresse |
$uhttp://dx.doi.org/10.1007/0-387-33416-5 |
| Internetseite / Link |
Volltext |
| Siehe auch |
Volltext |
| Siehe auch |
Einführung/Vorwort |
| Siehe auch |
Cover |
| Siehe auch |
Inhaltstext |
