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A new element for parallel distributed processing network—learning distance product element

✍ Scribed by Satoshi Murayama; Hirokazu Yokoi


Publisher
John Wiley and Sons
Year
1994
Tongue
English
Weight
562 KB
Volume
25
Category
Article
ISSN
0882-1666

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✦ Synopsis


Abstract

One of the factors which affect the convergence velocity in the learning by a parallel distributed processing network is the input/output characteristic of its elements. This paper proposes anew a learning distance product element to substitute for the conventional learning threshold elements, and performs the computer simulation of a three‐layered network with two inputs and one output using the learning distance product elements. As a result, it is confirmed that on average, learning is accelerated compared to the use of the learning threshold elements.