STATISTICAL-MECHANICS OF UNSUPERVISED LEARNING

被引：28
|
作者：
BIEHL, M
MIETZNER, A
机构：
[1] Physikalisches Institut, Julius-Maximilians-Universität, Würzburg, D-9707h, Am Hubland
来源：
EUROPHYSICS LETTERS | 1993年 / 24卷 / 05期
关键词：
D O I：
10.1209/0295-5075/24/5/017
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
We study two different unsupervised learning strategies for a single-layer perceptron. The environment provides a set of unclassified training examples, which belong to two different classes, depending on their overlap with an N-dimensional concept vector. By means of a statistical-mechanics analysis, using the replica method, we investigate how well the perceptron infers the unknown structure from the input data.
引用
收藏
页码：421 / 426
页数：6
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