Backpropagation

被引：3
|
作者：
Andrew, AM
机构：
[1] Earley, Reading
来源：
KYBERNETES | 2001年 / 30卷 / 9-10期
关键词：
cybernetics; networks; learning; algorithms;
D O I：
10.1108/03684920110405601
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The popular backpropagation algorithm for training neural nets is a special case of an earlier principle of significance feedback, which in turn has much in common with Selfridge's "Pandemonium" and a connection with McCufloch's "redundancy of potential command" Ways in which the effects might operate in real neural nets are reviewed, and the ideas are related to the current interest in heterogeneous agents. The tendency to restrict attention to numerical optimisation is regretted.
引用
收藏
页码：1110 / 1117
页数：8
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