Parallel architectures for artificial neural networks
paradigms and implementations
by N. Sundararajan and P. Saratchandran
A reference for neural networks research and application, this book covers the parallel implementation aspects of all major artificial neural network models in a single text. Parallel Architectures for Artificial Neural Networks details implementations on various processor architectures built on different hardware platforms, ranging from large, general purpose parallel computers to custom built MIMD machines.
Aimed at graduate students and researchers working in artificial neural networks and parallel computing, this work can be used by graduate level educators to illustrate parallel computing methods for ANN simulation.
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| Edition | Availability |
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1
Parallel architectures for artificial neural networks: paradigms and implementations
1998, IEEE Computer Society
in English
0818683996 9780818683992
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2
Parallel Architectures for Artificial Neural Networks: Paradigms and Implementations (Systems)
November 30, 1998, Wiley-IEEE Computer Society Pr
Hardcover
in English
- 1st edition
0818683996 9780818683992
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Includes bibliographical references and index.
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| July 13, 2024 | Edited by MARC Bot | import existing book |
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| March 12, 2019 | Created by MARC Bot | import existing book |