GENERALIZATION ABILITY OF PERCEPTRONS WITH CONTINUOUS OUTPUTS

被引：21

作者：

BOS, S

KINZEL, W

OPPER, M

机构：

[1] Institut für Theoretische Physik, Justus-Liebig Universität, D-6300 Giessen

来源：

PHYSICAL REVIEW E | 1993年 / 47卷 / 02期

关键词：

D O I：

10.1103/PhysRevE.47.1384

中图分类号：

O35 [流体力学]; O53 [等离子体物理学];

学科分类号：

070204 ; 080103 ; 080704 ;

摘要：

In this paper we examine the influence of different input-output relations on the generalization ability of a single-layer perceptron. The input-output relations can be linear, binary, or sigmoid. With this choice we take into account most of the cases which are of present interest. The generalization problem will be realizable or unrealizable if the input-output relations for teacher and student are identical or not. We show that sometimes it can have a positive effect on the generalization ability, if one learns with errors.

引用

页码：1384 / 1391

页数：8

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