Mathematical Methods for Neural Network Analysis and Design

Mathematical Methods for Neural Network Analysis and Design
Author: Richard M. Golden
Publisher: MIT Press
Total Pages: 452
Release: 1996
Genre: Computers
ISBN: 9780262071741

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For convenience, many of the proofs of the key theorems have been rewritten so that the entire book uses a relatively uniform notion.


Mathematical Methods for Neural Network Analysis and Design
Language: en
Pages: 452
Authors: Richard M. Golden
Categories: Computers
Type: BOOK - Published: 1996 - Publisher: MIT Press

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For convenience, many of the proofs of the key theorems have been rewritten so that the entire book uses a relatively uniform notion.
Neural Networks in the Analysis and Design of Structures
Language: en
Pages: 313
Authors: Zenon Waszczysznk
Categories: Computers
Type: BOOK - Published: 2014-05-04 - Publisher: Springer

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Neural Networks are a new, interdisciplinary tool for information processing. Neurocomputing being successfully introduced to structural problems which are diff
Neural Network Design
Language: en
Pages: 736
Authors: Martin T. Hagan
Categories: Neural networks (Computer science)
Type: BOOK - Published: 2002-01-01 - Publisher: Martin Hagan

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This book provides a clear and detailed survey of basic neural network architectures and learning rules. In it, the authors emphasize mathematical analysis of n
Neural Network Design
Language: en
Pages:
Authors: Martin T. Hagan
Categories: Neural networks (Computer science)
Type: BOOK - Published: 2003 - Publisher:

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Qualitative Analysis and Synthesis of Recurrent Neural Networks
Language: en
Pages: 508
Authors: Anthony Michel
Categories: Mathematics
Type: BOOK - Published: 2001-12-04 - Publisher: CRC Press

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"Analyzes the behavior, design, and implementation of artificial recurrent neural networks. Offers methods of synthesis for associative memories. Evaluates the