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Proceedings Paper

Mathematical model of neural learning
Author(s): Momaio Xiong; Ping Wang
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Paper Abstract

A generalized unified mathematical model of neural learning is proposed. A learning potential function is defined. A broad class of problems which are related to neural learning are examined. Differential inclusions for finding the minimum of the learning potential functions are derived. The general convergence theorem of optimal solutions are proved and its applications to the supervised learning, unsupervised learning, and Hopfield neural networks are investigated.

Paper Details

Date Published: 1 July 1992
PDF: 9 pages
Proc. SPIE 1710, Science of Artificial Neural Networks, (1 July 1992); doi: 10.1117/12.140153
Show Author Affiliations
Momaio Xiong, Univ. of Georgia (United States)
Ping Wang, Univ. of Georgia (United States)

Published in SPIE Proceedings Vol. 1710:
Science of Artificial Neural Networks
Dennis W. Ruck, Editor(s)

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