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Proceedings Paper

Qualitative approach to analyzing neural network dynamics
Author(s): Ragu Athinarayanan; Mohammed R. Sayeh
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Paper Abstract

Today neural networks are being adopted as an alternate method of solving complex pattern recognition/classification problems. Information regarding performance measure is critical in evaluating the capacity of this system in performing recognition/classification tasks. Currently this information is obtained using unstandardized empirical techniques. This study will attempt to devise a methodical procedure to qualitatively predict the performance measure of all neural network recongition classification systems governed by a set of ordinary differential equations. The determination of this characteristic will be made through the use of specific analytic methods in mathematics. Dynamical systems can therefore be qualitatively analyzed, and issues regarding existence of parasitic limit points can be more effectively addressed.

Paper Details

Date Published: 18 August 1995
PDF: 4 pages
Proc. SPIE 2622, Optical Engineering Midwest '95, (18 August 1995); doi: 10.1117/12.216863
Show Author Affiliations
Ragu Athinarayanan, Southeast Missouri State Univ. (United States)
Mohammed R. Sayeh, Southern Illinois Univ./Carbondale (United States)


Published in SPIE Proceedings Vol. 2622:
Optical Engineering Midwest '95
Rudolph P. Guzik, Editor(s)

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