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Principles Of Artificial Neural Networks

Principles Of Artificial Neural Networks by Daniel Graupe
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The book should serve as a text for a university graduate course or for an advanced undergraduate course on neural networks in engineering and computer science departments. It should also serve as a self-study course for engineers and computer scientists in the industry. Covering major neural network approaches and architectures with the theories, this text presents detailed case studies for each of the approaches, accompanied with complete computer codes and the corresponding computed results. The case studies are designed to allow easy comparison of network performance to illustrate strengths and weaknesses of the different networks.
World Scientific Publishing Company; January 2007
320 pages; ISBN 9789814475563
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Title: Principles Of Artificial Neural Networks
Author: Daniel Graupe