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An Analog Neural Network System with Learning Capability Using Simultaneous Perturbation

Yutaka MAEDA, Toshiyuki KUSUHASHI

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Summary :

In this paper, we describe an implementation of analog neural network system with on-line learning capability. A learning rule using the simultaneous perturbation is adopted. Compared with usage of the ordinary back-propagation method, we can easily implement the simultaneous perturbation learning rule. The neural system can monitor weight values and an error value. The exclusive OR problem and a simple function problem are shown.

Publication
IEICE TRANSACTIONS on Information Vol.E82-D No.12 pp.1627-1633
Publication Date
1999/12/25
Publicized
Online ISSN
DOI
Type of Manuscript
PAPER
Category
Bio-Cybernetics and Neurocomputing

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