Probability limit property for energy function to feed-forward neural networks with noise

被引：0
|
作者：
Jin, C [1 ]
机构：
[1] Hubei Univ, Coll Math & Comp Sci, Wuhun 430062, Peoples R China
来源：
2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS | 2002年
关键词：
noise; feed-forward neural network; energy function;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a probability limit property is proposed for the weight vectors W of feed-forward neural network when both the input data and output data contain noise or when only the output data contains noise. By the theory analysis for energy function to feed-forward neural network, this paper points out that a least square energy function isn't a good choice. The result is good enough for future research.
引用
收藏
页码：1 / 3
页数：3
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