Here is a reading list on Neural Nets
1 McClelland, J.L. and D.E. Rumelhart, 1988; Explorations in Parallel
Distributed Processing, A Handbook of Models, Programs, and Exercises,
M.I.T. Press, Cambridge Mass, 344 pages
2 Rumelhart, D.E. and J.L. McClelland, 1986; Parallel Distributed
Processing Explorations in the Microstructure of Cognition: Volume 1:
Foundations, M.I.T. Press, Cambridge Mass, 547 pages
3 Rumelhart, D.E. and J.L. McClelland, 1986; Parallel Distributed
Processing Explorations in the Microstructure of Cognition: Volume 2:
Psychological and Biological Models, M.I.T. Press, Cambridge Mass, 611 pages
4 Wasserman, P.D., 1989; Neural Computing Theory and Practice,
Van Nostrand Reinhold, New York, 230 pages
ISBN 0-442-20743-3
Other books that I don't have that I understand might be worthwhile:
Fausett, L. V., 1994; Fundamentals of Neural Networks: Architectures,
Algorithms, and Applications, Prentice Hall, Englewood Cliffs, NJ.
ISBN 0-13-334186-0.
I found Book #4 to be a good place to start. It is very readable and
compares the various approaches to neural computing. All the jargon used
in the neural computing community is explained clearly. It contains no
code.
The books 2 & 3 seem to be the ultimate references, everybody refers to
them in the literature. These books (especially Volume 2) are not about
neural computing per se, but about the whole concept of neural nets
in general. There is much discussion about psychological and biological
processes with some discussion about computing.
Book 1 is a handbook that contains a Mac or PC floppy disk that has some
neural network code. There are exercises and discussions of the code, but
virtually no discussion about the theory. This book is intended to be used
as a companion to books 2 & 3.