MODELS OF CONTINUOUS NEURAL NETWORKS

被引：3
|
作者：
CARMESIN, HO
机构：
[1] Institute of Theoretical Physics, University of Bremen
来源：
PHYSICS LETTERS A | 1991年 / 156卷 / 3-4期
关键词：
D O I：
10.1016/0375-9601(91)90934-Z
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
A neural network is investigated, in which the state of a neuron is described by any real number, while its mean quadratic activation is one. The Hopfield learning rule is assumed and generalized. The net is equivalent to one spin in a 2(2l)-polar external field, and its capacity is at most l(N), where N is the number of neurons. The infinite-polar net exhibits infinite capacity and both continuous and discontinuous phase transitions.
引用
收藏
页码：183 / 186
页数：4
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