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Proceedings Paper

Unipolar neural network using redundant interconnections
Author(s): Francis T. S. Yu; Guowen Lu; Chii-Maw Uang
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Paper Abstract

A method to construct a unipolar interpattern association (IPA) interconnection weight matrix (IWM) is presented. By searching the redundant interconnection links, a method that removes all negative links is introduced. Computer simulation as well as experimental results have shown that the unipolar IWM IPA neural network performs better than that of the bipolar IWM IPA model.

Paper Details

Date Published: 7 December 1994
PDF: 8 pages
Proc. SPIE 2430, Optical Memory & Neural Networks '94: Optical Neural Networks, (7 December 1994); doi: 10.1117/12.195602
Show Author Affiliations
Francis T. S. Yu, The Pennsylvania State Univ. (United States)
Guowen Lu, The Pennsylvania State Univ. (United States)
Chii-Maw Uang, Chinese Air Force Academy (Taiwan)


Published in SPIE Proceedings Vol. 2430:
Optical Memory & Neural Networks '94: Optical Neural Networks
Andrei L. Mikaelian, Editor(s)

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