Discrete Mathematics of Neural Networks: Selected Topics

Front Cover
SIAM, 2001 - Computers - 131 pages
0 Reviews
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.
 

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

DT08ch1
1
DT08ch2
9
DT08ch3
21
DT08ch4
35
DT08ch5
43
DT08ch6
49
DT08ch7
61
DT08ch8
71
DT08ch9
83
DT08ch10
89
DT08ch11
101
DT08ch12
109
DT08ch13
115
DT08bm
119
Copyright

Other editions - View all

Common terms and phrases

Bibliographic information