Hopfield model with a dynamic threshold

被引:3
|
作者
Litinskii, LB [1 ]
机构
[1] RAS, Inst High Pressure Phys, Troitsk, Moscow Oblast, Russia
基金
俄罗斯基础研究基金会;
关键词
Neural Network; Network Model; Neural Network Model; Rigorous Result; Dynamic Threshold;
D O I
10.1023/A:1013840801300
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
We study the dependence. of the result of training on the dynamic threshold H in the Hopfield neural network model. We obtain rigorous results relating the quality of training to the threshold.
引用
收藏
页码:136 / 151
页数:16
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