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Neural Net Notebooks

• To: mathgroup at yoda.physics.unc.edu
• Subject: Neural Net Notebooks
• From: Dr Jacques J Vidal <vidal at cs.ucla.edu>
• Date: Sun, 20 Dec 92 13:49:44 PST

The first installment in the electronic publication of a collection 
of instructional Mathematica (TM) Notebooks has been placed in 
MathSource. 
Title:  "EXPLORING NEURAL NETWORKS WITH MATHEMATICA"
Copyright: Copyright 1989-1992 by Jacques J. Vidal, University of 
California, Los Angeles. 

The following files have been sent or will be shortly:
ContinuousUnits.ma.sit.hqx
DiscreteUnits.ma.sit.hqx
1-BackPropagation.ma.sit.hqx
1-KohonenMap.ma.sit.hqx
1-Hopfield.ma.sit.hqx

Revision Date: December 1992

These Notebooks have been developed as material for two
Neural Neworks courses at UCLA. This first posting covers some
basic theory and very elementary examples of common neural net 
algorithms.
These Notebooks are informal and strictly stand-alone.
They are given to students as starting points for exploration and
as initial models for their term notebooks. They do not rely on a 
knowledge of Mathematica. Priority has been given to readability 
and self-documentation. 
You are free to access, copy or modify these Notebooks and use 
at your own risk for any non-commercial endeavor. 
No representation is made about the suitability of these Notebooks
for their intended or any other purpose.  They are provided "as is"
without express or implied warranty.

For information on using MathSource send a single-line message "help" to
ms-request at wri.com