NEW MIT BOOK! Mathematical Methods for Neural Net Analysis and Design

[Richard M Golden]

     Mathematical Methods for Neural Network Analysis and Design
			Richard M. Golden

MIT Press (1996)                ORDERING INFO:
ISBN 0-262-07174-6              http://www.amazon.com              
Cloth ($65.00), 432 pages.      http://www-mitpress.mit.edu/order-info.html
                                1-800-356-0343 (MIT BOOK ORDER Department)
***FOR MORE INFO: http://www.utdallas.edu/~golden/book_abs.html   

This textbook teaches students how to carefully use a powerful set of 
mathematical tools for analyzing and designing a wide variety of 
NONLINEAR HIGH-DIMENSIONAL Artificial Neural Network (ANN) systems.

Chapter 1: ANN systems with Neuroscience, Psychology, Engineering Applications
Chapter 2: Specific ANN system architectures; classification/learning paradigms 
Chapter 3: LaSalle's Invariant Set Theorem for behavioral analysis of ANNs
Chapter 4: Stochastic Approximation Theorem for behavioral analysis of ANNs
Chapter 5: Nonlinear Optimization Theory for ANN system design 
Chapters 6,7: Bayesian Decision Theory and Markov Random Fields for the
	 design of "rational" ANN classification/learning objective functions.  
Chapter 8: Confidence intervals for an ANN system's predictions. Statistical 
	   tests for: (i) pruning/adding units, and (ii) model selection.  
Solutions: Solutions to over 100 ANN system analysis and design problems   

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