| 摘要 |
PROBLEM TO BE SOLVED: To provide a method using a neural network to empirically discriminate modality of a data set. SOLUTION: The method for discriminating bimodal data has the steps of receiving a plurality of data inputs, preparing a histogram from the plurality of data inputs, computing a range of the plurality of data inputs, comparing the range of the plurality of data inputs to an expected non-repeatability of the plurality of data inputs, computing a plurality of histogram frequencies if the range is not less than the expected non-repeatability, inputting the plurality of histogram frequencies and a plurality of precomputed weights into a learned vector quantization (LVQ) network 31, and outputting a bimodal flag indicative of the bimodality of the plurality of data inputs, from the learned vector quantization. COPYRIGHT: (C)2008,JPO&INPIT
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