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Realization of k-Nearest Neighbor Decision Rule With A Boolean Neural Network

Yang Hui ;Qin Jiangmin (Group of Graduate) (Teaching & Research Section of Signal Processing)  
The k-nearest neighbor decision criterion is an effective classifying approach in the statistical methods of pattern recognition. The k-nearest neighbor classifier based on Boolean neural network has the better features of tolerance, learning and robustness. By computer simulation, it is shown that the realization presented in this paper is available.
【CateGory Index】: O235
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