Discrete Mathematics of Neural Networks is popular PDF and ePub book, written by Martin Anthony in 2001-01-01, 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, Discrete Mathematics of Neural Networks can be Read Online from any device for your convenience.
Discrete Mathematics of Neural Networks Book PDF Summary
This concise, readable book provides a sampling of the very large, active, and expanding field of artificial neural network theory. It considers select areas of discrete mathematics linking combinatorics and the theory of the simplest types of artificial neural networks. Neural networks have emerged as a key technology in many fields of application, and an understanding of the theories concerning what such systems can and cannot do is essential. Some classical results are presented with accessible proofs, together with some more recent perspectives, such as those obtained by considering decision lists. In addition, probabilistic models of neural network learning are discussed. Graph theory, some partially ordered set theory, computational complexity, and discrete probability are among the mathematical topics involved. Pointers to further reading and an extensive bibliography make this book a good starting point for research in discrete mathematics and neural networks.
Detail Book of Discrete Mathematics of Neural Networks PDF
- Author : Martin Anthony
- Release : 01 January 2001
- Publisher : SIAM
- ISBN : 9780898714807
- Genre : Computers
- Total Page : 137 pages
- Language : English
- PDF File Size : 20,7 Mb
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