Tags
Language
Tags
March 2024
Su Mo Tu We Th Fr Sa
25 26 27 28 29 1 2
3 4 5 6 7 8 9
10 11 12 13 14 15 16
17 18 19 20 21 22 23
24 25 26 27 28 29 30
31 1 2 3 4 5 6

Principles of Artificial Neural Networks (Advanced Series in Circuits and Systems) by Daniel Graupe [Repost]

Posted By: Free butterfly
Principles of Artificial Neural Networks (Advanced Series in Circuits and Systems) by Daniel Graupe [Repost]

Principles of Artificial Neural Networks (Advanced Series in Circuits and Systems) by Daniel Graupe
English | April 5, 2007 | ISBN: 9812706240 | 320 pages | PDF | 3 MB

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.