Description: Hamming neural network from the functional point of view is the smallest Hamming distance classifier. Use it to complete incomplete input information storage model with the smallest Hamming distance classifier. Hamming network is a double neural network, the first network layer (ie matching sub-network) is used to calculate the input model and the network has been studied by the match between the sample test degrees. The second layer network (that is, competitive-network) from the receiver-matching network sent an unknown model has been deposited with the samples matching measure, Then after many iterative computation can be obtained with the input mode matching sample.
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