LEARNING ALGORITHMS FOR MULTILAYER NEURAL NETWORKS

被引：0
|
作者：
AVEDYAN, ED
机构：
来源：
AUTOMATION AND REMOTE CONTROL | 1995年 / 56卷 / 04期
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D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A Newton algorithm and autonomous algorithms for teaching multilayer neural networks are designed from a back-propagation algorithm. While Newton algorithms involve tedious computations, autonomous algorithms are simple compared to well known algorithms. Autonomous algorithms are noted to have future prospects for teaching large-size networks.
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页码：541 / 551
页数：11
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