BIASED LEARNING IN BOOLEAN PERCEPTRONS

被引：4

作者：

KINOUCHI, O ^{[1
]}

CATICHA, N ^{[1
]}

机构：

[1] UNIV SAO PAULO,BR-05508 SAO PAULO,BRAZIL

来源：

PHYSICA A | 1992年 / 185卷 / 1-4期

关键词：

D O I：

10.1016/0378-4371(92)90482-6

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

The generalization ability of Hebbian Boolean perceptrons can be improved by a kind of feedback mechanism in which the student net judges the difficulty of a new example from its previous experience. It is shown that by giving a higher weight to the hard examples both generalization and learning abilities can be increased. Analytical as well as numerical results are presented for both cases where the examples are drawn at random or selected in an intelligent form.

引用

页码：411 / 416

页数：6

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