Web[Y,PS] = mapminmax (X) 表示将矩阵X进行归一化，Y为归一化的结果矩阵，PS则为归一化后矩阵的一些参数，比如X矩阵的最小值：PS.Xmin，结果矩阵的最大值：PS.Ymax; [Y,PS] = mapminmax (X,FP) 1 Y = mapminmax ('apply',X,PS) ，表示对已经对x1采用了某种规范化的方式，现在要对x2采用同样的规范化方式，比如： [y1,ps] = mapminmax (x1); y2 = … WebPM2.5 Prediction Model Based on ABC-BP. Contribute to wangqiang135/ABC-BP development by creating an account on GitHub.

How to Input Data Into a Trained Neural Network Algorithm - MATLAB

Web13. sep 2024. · [Y,PS] = mapminmax(X) [Y,PS] = mapminmax(X,FP) Y = mapminmax(‘apply’,X,PS) X = mapminmax(‘reverse’,Y,PS) 用实例来讲解,测试数据 x1 = [1 2 4], x2 = [5 2 3]; [y,ps] = mapminmax(x1) y = -1.0000 -0.3333 1.0000 ps = name: ‘mapminmax’ xrows: 1 xmax: 4 xmin: 1 xrange: 3 yrows: 1 ymax: 1 ymin: -1 yrange: 2 其 … Web02. avg 2024. · 1.mapminmax mapminmax按行逐行地对数据进行标准化处理，将每一行数据分别标准化到区间[ymin,ymax]内，其计算公式是： 如果某行的数据全部相同，此 … charleston affordable housing program

bp神经网络预测模型matlab代码 - CSDN

WebIf mapminmax is used to preprocess the training set data, then whenever the trained network is used with new inputs they should be preprocessed with the minimum and … The network output an corresponds to the normalized targets tn.The unnormalized … The input vectors are first normalized, using mapstd, so that they have zero mean … This MATLAB function takes these inputs, The first new row is the original first row, … Web08. okt 2024. · inputn_test=mapminmax('apply',input_test,inputps); % 对样本数据进行归一化 %% 第八步 BP神经网络预测 an=sim(net,inputn_test); %用训练好的模型进行仿真 %% 第九步 预测结果反归一化与误差计算 test_simu=mapminmax('reverse',an,outputps); %把仿真得到的数据还原为原始的数量级 error=test_simu-output_test; %预测值和真实值的误差 … Web23. mar 2024. · [outputn,outputps]=mapminmax(output_train); %隐含层有10个神经元，传递函数是tan-sigmoid %输出层的传递函数是linear,训练函数是traingd,trainlm，trainlm好像更快点 net=newff(inputn,outputn,3,{'tansig','purelin'},'trainlm'); net.trainParam.epochs=1000;%训练次数 net.trainParam.lr=0.5;%训练速度 net.trainParam.goal=0.0001;%目标误差 harry\u0027s at buderim