Artificial Neural Nets. Problem Solving Methods

Artificial Neural Nets. Problem Solving Methods
Author :
Publisher : Springer Science & Business Media
Total Pages : 845
Release :
ISBN-10 : 9783540402114
ISBN-13 : 354040211X
Rating : 4/5 (14 Downloads)

Book Synopsis Artificial Neural Nets. Problem Solving Methods by : José Mira

Download or read book Artificial Neural Nets. Problem Solving Methods written by José Mira and published by Springer Science & Business Media. This book was released on 2003-05-22 with total page 845 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 2686 and LNCS 2687 constitute the refereed proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003, held in Maó, Menorca, Spain in June 2003. The 197 revised papers presented were carefully reviewed and selected for inclusion in the book and address the following topics: mathematical and computational methods in neural modelling, neurophysiological data analysis and modelling, structural and functional models of neurons, learning and other plasticity phenomena, complex systems dynamics, cognitive processes and artificial intelligence, methodologies for net design, bio-inspired systems and engineering, and applications in a broad variety of fields.


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The aim of this book is to handle different application problems of science and engineering using expert Artificial Neural Network (ANN). As such, the book star