£105.98

Springer Metaheuristic Procedures for Training Neural Networks: 35 (Operations Research/Computer Science Interfaces Series, 35)

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Description

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. Review From the reviews: "The strength of the book is its clear motivation to bring a new breath from metaheuristics into training of neural networks and integrate both sub-disciplines for the purpose of better exploitation of artificial intelligence approaches. … The most benefiting reader of this book will perhaps be those who research on modelling data with ANN faced with difficulty of robust mapping with classical training algorithms." (S. Gazioglu, Journal of the Operational Research Society, Vol. 58 (12), 2007)

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
19 November 2010
Listed Since
06 July 2010

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