BP neural network
2017-12-07
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CLC; clear all & nbsp; & nbsp; & nbsp; & nbsp;% case variable environment [XDATA, textdata] = xlsread ('exp12_ 4_ 2. XLS');% read freight volume data [n, M] = size (XDATA); train_ Num = 20; & nbsp; & nbsp; & nbsp; & nbsp;% the number of input samples is 20_ Num=Train_ Num; & nbsp; & nbsp;% test sample size is also 20sim_ Num = 2; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp;% the number of prediction samples is 6%, and the input and output data are extracted. Input = [XDATA (1: train)_ Num,3) xdata(1:Train_ Num,4) xdata(1:Train_ Num,5) xdata(1:Train_ Num,6) xdata(1:Train_ Num,7)]';Output=xdata(1:Train_ Num, 2) ';%%% data normalization_ PS] = mapminmax (input, 0,1); & nbsp; & nbsp;% input data normalization [output, out]_ PS] = mapminmax (output, 0,1); & nbsp;% normalized train of output data_ Input=Inputn(:,1:Train_ Num); & nbsp; & nbsp;% training data input test_ Input=Train_ Input; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp;% test data input
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