Backpropagation: the basic theory 论文

1995引用 298
Neural Networks and ApplicationsEvolutionary Algorithms and ApplicationsBlind Source Separation Techniques

详细信息

发表日期
1995-01-01
发表年份
1995

关键词

Neural Networks and ApplicationsEvolutionary Algorithms and ApplicationsBlind Source Separation Techniques

摘要

Since the publication of the PDP volumes in 1986,1 learning by backpropagation has become the most popular method of training neural networks. The reason for the popularity is the underlying simplicity and relative power of the algorithm. Its power derives from the fact that, unlike its precursors, the perceptron learning