UNIQUENESS OF THE WEIGHTS FOR MINIMAL FEEDFORWARD NETS WITH A GIVEN INPUT-OUTPUT MAP

被引:175
作者
SUSSMANN, HJ
机构
关键词
FEEDFORWARD NETS; UNIQUENESS; SYMMETRIES;
D O I
10.1016/S0893-6080(05)80037-1
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We show that, for feedforward nets with a single hidden layer, a single output node, and a "transfer function" Tanh s, the net is uniquely determined by its input-output map, up to an obvious finite group of symmetries (permutations of the hidden nodes, and changing the sign of all the weights associated to a particular hidden node), provided that the net is irreducible (i.e., that there does not exist an inner node that makes a zero contribution to the output, and there is no pair of hidden nodes that could be collapsed to a single node without altering the input-output map).
引用
收藏
页码:589 / 593
页数:5
相关论文
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