Description: . using BP neural network to design the classifier for male and female students. The features include height, weight, whether they like mathematics, whether they like literature, and whether they like sports. The BP neural network contains a hidden layer, and the number of hidden nodes is five (5). Requirements: self compiled code, post propagation algorithm, cross validation method to achieve performance evaluation (including SE, SP, ACC and AUC, AUC calculation can be based on platform software package).
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鏂板缓鏂囦欢澶?(2)
鏂板缓鏂囦欢澶?(2)\divide.m
鏂板缓鏂囦欢澶?(2)\getdata.m
鏂板缓鏂囦欢澶?(2)\Untitled14.m
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