Title: Can backpropagation error surface not have local minima
Abstract: It is shown theoretically that for an arbitrary T-element training set with t(t=/<T) different inputs, the backpropagation error surface does not have suboptimal local minima if the network is capable of exactly implementing an arbitrary training set consisting of t different patterns. As a special case, the error surface of a backpropagation network with one hidden layer and t-1 hidden units has no local minima, if the network is trained by an arbitrary T-element set with t different inputs.
Publication Year: 1992
Publication Date: 1992-01-01
Language: en
Type: article
Indexed In: ['crossref', 'pubmed']
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Cited By Count: 109
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