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Book review: Mathematical methods for neural network analysis and design (The MIT Press, 1996)

Published: 01 December 1998 Publication History

Abstract

This book describes various neural networks and their behavior based on David Marr's theory of vision and information processing systems [Marr82]. The author, Richard Golden, is an Associate Professor in the Program of Cognition and Neuro-science at the University of Texas at Dallas. He has published a number of papers in the area of artificial neural network (ANN) analysis within the past 10 years.

References

[1]
J. A. Anderson, An introduction to neural networks, MIT Press, 1995.
[2]
A. Blake and A. Zisserman, Visual Reconstruction, MIT Press, 1987.
[3]
D. Geiger and F. Girosi, "Parallel and deterministic algorithms from mrf's: Surface reconstruction" in IEEE Trans. on Pattern Analysis and Machine Intelligence, vol 13, no. 5, 1991. pp. 401--412.
[4]
S. Hayken, Neural Networks: A Comprehensive Foundation, IEEE Press, 1994.
[5]
J. P. LaSalle, "Some extensions of Liapunov's second method," in IRE Trans. on Circuits and Theory, 7(4), pp. 520--527, 1960.
[6]
D. Marr, Vision, W. H. Freeman and Company, 1982.
[7]
C. Peterson and J. R. Anderson "A mean field theory learning algorithm for neural network," Complex Systems, 1(6), pp. 995--1019, 1987.

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Published In

cover image ACM SIGART Bulletin
ACM SIGART Bulletin  Volume 9, Issue 3-4
Dec. 1998
28 pages
ISSN:0163-5719
DOI:10.1145/302342
Issue’s Table of Contents

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 December 1998
Published in SIGAI Volume 9, Issue 3-4

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