Principles Of Artificial Neural Networks 2nd Edition is popular PDF and ePub book, written by Daniel Graupe in 2007-04-05, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Principles Of Artificial Neural Networks 2nd Edition can be Read Online from any device for your convenience.
Principles Of Artificial Neural Networks 2nd Edition Book PDF Summary
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.
Detail Book of Principles Of Artificial Neural Networks 2nd Edition PDF
- Author : Daniel Graupe
- Release : 05 April 2007
- Publisher : World Scientific
- ISBN : 9789814475563
- Genre : Computers
- Total Page : 320 pages
- Language : English
- PDF File Size : 17,6 Mb
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