Statistical Mechanical Analysis of Simultaneous Perturbation Learning

被引:1
作者
Miyoshi, Seiji [1 ]
Hikawa, Hiroomi [1 ]
Maeda, Yutaka [1 ]
机构
[1] Kansai Univ, Fac Engn Sci, Dept Elect & Elect Engn, Suita, Osaka 5648680, Japan
关键词
simultaneous perturbation; on-line learning; statistical mechanical method; generalization error; PERCEPTRON;
D O I
10.1587/transfun.E92.A.1743
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
We show that simultaneous perturbation can be used as an algorithm for on-line learning, and we report our theoretical investigation on generalization performance obtained with a statistical mechanical method. Asymptotic behavior of generalization error using this algorithm is on the order of t to the minus one-third power, where t is the learning time or the number of teaming examples. This order is the same as that using well-known perceptron learning.
引用
收藏
页码:1743 / 1746
页数:4
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