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Convergence of BP algorithm with variable learning rates for FNN training

Release Time:2019-03-12  Hits:

Indexed by: Conference Paper

Date of Publication: 2006-11-13

Included Journals: Scopus、CPCI-S、EI

Page Number: 245-+

Abstract: Convergence results are presented for the batch backpropagation algorithm with variable learning rates for training feedforward neural networks with a hidden layer. The monotonicity of the error function in the training iteration is also proved.

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