Backpropagation: the basic theory

著者: David E. Rumelhart, Richard Durbin, Richard M. Golden, Yves Chauvin - http://psych.stanford.edu/~jlm/pdfs/RumelhartEtAl95BackPropBasicTheory.pdf 1995 被引用: 298

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