Sunday 26 September 2010

Neural Networks

Neural Networks



Author: Raul Rojas
Edition: 1
Publisher: Springer
Binding: Paperback
ISBN: 3540605053
Category: Programming
List Price: $ 99.00
Price: $ 72.23
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Neural Networks: A Systematic Introduction



Neural networks are a computing paradigm that is finding increasing attention among computer scientists. Programming books Neural Networks pdf. In this book, theoretical laws and models previously scattered in the literature are brought together into a general theory of artificial neural nets. Always with a view to biology and starting with the simplest nets, it is shown how the properties of models change when more general computing elements and net topologies are introduced. Each chapter contains examples, numerous illustrations, and a bibliography. The book is aimed at readers who seek an overview of the field or who wish to deepen their knowledge. Download books Introduction to Neural Networks for C#, 2nd Edition pdf via mediafire, 4shared, rapidshare.

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Constructive Neural Networks
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The book is a collection of invited papers on Constructive methods for Neural networks. Most of the chapters are extended versions of works presented on the special session on constructive neural network algorithms of the 18th International Conference on Artificial Neural Networks (ICANN 2008) held September 3-6, 2008 in Prague, Czech Republic.
The book is devoted to constructive neural networks and other incremental learning algorithms that constitute an alternative to standard trial and error methods for searching adequate architectures. It is made of 15 articles which provide an overview of

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Elsevier Science Publishing Co Inc | 1998 | 438 pages | ISBN-13: 9780124438675 | ISBN-10: 0124438679

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Artificial Neural Nets. Problem Solving Methods: 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003, Ma?, Menorca, ... Notes in Computer Science Pt. II: Jos? Mira, Jos? R. Alvarez



Download Neural Networks


In this book, theoretical laws and models previously scattered in the literature are brought together into a general theory of artificial neural nets. Always with a view to biology and starting with the simplest nets, it is shown how the properties of models change when more general computing elements and net topologies are introduced. Each chapter contains examples, numerous illustrations, and a bibliography. The book is aimed at readers who seek an overview of the field or who wish to deepen their knowledge. It is suitable as a basis for university courses in neurocomputing. Download free Neural Networks: A Systematic Introduction pdf

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