deepa08
Well-Known Member
Principles of Artificial Neural Networks (Advanced Series in Circuits and Systems) (Advanced Series in Circuits and Systems)
Publisher World Scientific Publishing Company
Author(s) Daniel Graupe
ISBN 9812706240
Release Date 05 April 2007
DescriptionThe 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.
Dowload from Attachment
Publisher World Scientific Publishing Company
Author(s) Daniel Graupe
ISBN 9812706240
Release Date 05 April 2007
DescriptionThe 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.
Dowload from Attachment
