FUNCTIONALLY EQUIVALENT FEEDFORWARD NEURAL NETWORKS

被引：40
|
作者：
KURKOVA, V [1 ]
KAINEN, PC [1 ]
机构：
[1] IND MATH, WASHINGTON, DC 20007 USA
来源：
NEURAL COMPUTATION | 1994年 / 6卷 / 03期
关键词：
D O I：
10.1162/neco.1994.6.3.543
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
For a feedforward perceptron type architecture with a single hidden layer but with a quite general activation function, we characterize the relation between pairs of weight vectors determining networks with the same input-output function.
引用
收藏
页码：543 / 558
页数：16
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