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Training Feedforward Neural Networks: An Algorithm Giving Improved Generalization

โœ Scribed by Charles W. Lee


Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
711 KB
Volume
10
Category
Article
ISSN
0893-6080

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โœฆ Synopsis


An algorithm is derived for supervised training in mtdtilayer feedforwardneural networks. Relative to the gradient descent backpropagation algorithm it appears to give bothfaster convergence and improved generalization, whilst preserving the system of backpropagating errors throughthe network.


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