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A Study of Back Propagation Learning with PeriodicChaos Neurons

✍ Scribed by Takashi Okada; Masahiro Nakagawa

Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
766 KB
Volume
10
Category
Article
ISSN
0960-0779

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✦ Synopsis

In this paper\ we shall propose an error back propagation scheme with a periodic chaos neuron model[ The present learning model is properly characterized in terms of periodic chaos neurons to involve chaotic dynamics as well as external or autonomous control of the periodicity[ In practice\ one may con_rm that there exists a close relationship between the learning process and chaotic dynamics\ and that chaotic dynamics promote the learning speed with a certain success rate\ as seen in the conventional nonchaotic models[ Þ 0888 Elsevier Science Ltd[ All rights reserved[

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