广义Delta法则在Sigmoid函数中的推广

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Volume 13: 1991 Pub Date : 1991-10-31 DOI:10.1109/IEMBS.1991.684507

A. Sperduti, A. Starita

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引用次数: 1

摘要

本文对广义delta规则进行了推广，使之适用于s型函数。所提出的学习过程保留了权值变化的标准广义delta规则，并以相同的方式引入了s型函数参数的变化。这样引入的非线性的自适应允许预期学习的加速和对输入模式分布的更好的适应。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Extension Of Generalized Delta Rule To Adapt Sigmoid Functions

In this paper an extension of the generalized delta rule to adapt sigmoid functions is presented. The proposed learning procedure retains the standard generalized delta rule for weights changes and introduces changes of the sigmoid functions parameters in the same fashion. The adaptation of the nonlinearities so introduced allows to expect an acceleration of the learning and a better adaptation to the input pattern distribution.

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来源期刊

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Volume 13: 1991

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