ON THE GENERALIZATION ABILITY OF DILUTED PERCEPTRONS

被引：11

作者：

KUHLMANN, P ^{[1
]}

MULLER, KR ^{[1
]}

机构：

[1] TECH UNIV BERLIN 1,GMD FORSCHUNGSINST RECHNERARCHITEKUTUR & SOFTWARETECH,D-12489 BERLIN,GERMANY

来源：

JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL | 1994年 / 27卷 / 11期

关键词：

D O I：

10.1088/0305-4470/27/11/026

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

A linearly separable Boolean function is learned by a diluted perceptron with optimal stability. A different level of dilution is allowed for teacher and student perceptron. The learning algorithms used were the optimal annealed dilution and Hebbian dilution. The generalization ability, i.e. the probability to recognize a pattern which has not been learned before, is calculated in replica symmetry.

引用

页码：3759 / 3774

页数：16

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