DISTRIBUTION OF INTERNAL FIELDS AND DYNAMICS OF NEURAL NETWORKS

被引：11

作者：

HENKEL, RD

OPPER, M

机构：

来源：

EUROPHYSICS LETTERS | 1990年 / 11卷 / 05期

关键词：

D O I：

10.1209/0295-5075/11/5/003

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

A new approach to treat the temporal development of fully connected neural networks is introduced. It is based on a non-Gaussian ansatz for the distribution of internal fields, incorporating memory effects. For the network with projector couplings recursion Relations for the parameters of the field distribution are derived, which yield remanence effects as well as basins of attractions in good agreement with numerical simulations. © 1990 The Japan Society of Applied Physics.

引用

页码：403 / 408

页数：6

共 17 条

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