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Back Propagated Neural Network for Mathematica Version 3
Author

Steve M. Hunka
Organization: University of Alberta
Department: Professor Emeritus of Educational Psychology
Old MathSource #

0209-078
Revision date

1997-11-17
Description

This item provides functions to simulate a back propagated neural network, to classify exemplars based on network results, and to examine graphically and numerically the dynamic and final state characteristics of the network. The neural simulation allows the user to interactively specify a number of parameters, and as a user option, to create files representing the progress of the simulation and the random starting seed. 2D, 3D, barplots and density plots are used extensively for portraying cell responses and weights of the network. Functions are documented and an example of a simulation and the analysis of the results is also given.

This item is a Version 3 update to item 0208-741.
Subject

*Applied Mathematics > Computer Science
Keywords

neural network, connectionist modeling, pattern recognition
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Neural.nb (1.2 MB) - Mathematica Notebook
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netAn1.nb (2.4 MB) - Mathematica Notebook
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netAn2.nb (1.6 MB) - Mathematica Notebook
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netAn3.nb (680 KB) - Mathematica Notebook
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netAn4.nb (361.3 KB) - Mathematica Notebook
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netCls.nb (617.3 KB) - Mathematica Notebook
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netUdoc.nb (17.1 KB) - Mathematica Notebook
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netUtil.nb (18.2 KB) - Mathematica Notebook
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readMe.nb (18.3 KB) - Mathematica Notebook