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- W2030543892 abstract "A modular approach for improving the performance of 2-D Hopfield neural network is presented in this paper. The approach is inspired by biological visual perception phenomenon. The training method introduces a decaying distance factor into the Hebbian learning rule for image processing applications. The value of the distance factor varies based on the spatial location of the neurons with respect to the neuron under consideration. Experiments performed with character images show that the new approach can learn and recognize patterns very effectively." @default.
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- W2030543892 date "2004-01-01" @default.
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- W2030543892 title "Learning using distance based training algorithm for pattern recognition" @default.
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- W2030543892 doi "https://doi.org/10.1016/j.patrec.2003.09.013" @default.
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