MATLAB2008 version, the establishment and training of Bp neural network, four signal classification and recognition capabilities, saved four signal data generated, secured a sample using BP neural network training and automatic classification of samples as part of the training , as part of the inspection, four characteristics of the input for the sample feature behind the corresponding output in order to calculate the correct rate, a high recognition rate

tongxinfenlei.m

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