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- W2000646490 abstract "The major drawbacks of backpropagation algorithm are local minima and slow convergence. This paper presents an efficient technique ANMBP for training single hidden layer neural network to improve convergence speed and to escape from local minima. The algorithm is based on modified backpropagation algorithm in neighborhood based neural network by replacing fixed learning parameters with adaptive learning parameters. The developed learning algorithm is applied to several problems. In all the problems, the proposed algorithm outperform well." @default.
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- W2000646490 date "2009-10-01" @default.
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- W2000646490 title "Neighborhood based modified backpropagation algorithm using adaptive learning parameters for training feedforward neural networks" @default.
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- W2000646490 doi "https://doi.org/10.1016/j.neucom.2009.04.010" @default.
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