Web% Prediction using the network inputn_test=mapminmax('apply',input_test,inputps); % Output of the prediction results an=sim(net,inputn_test); % Inverse-normalization of the … Web07. dec 2024. · an是网络预测结果,BPoutput是反归一化后的网络预测输出,'reverse'表示对数据进行反归一化。 提取四类语音特征信号,不同的语音信号分别用1,2,3,4标识,提取出的信号分别存储于data1.mat data2.mat data3.mat data4. mat数据库 文件中,每组数据为25维,第1维为类别标识,后24维为语音特征信号。
bp神经网络预测的问题-人工智能-CSDN问答
Web29. mar 2024. · I am scaling up the data between -1 and 1 using mapminmax command. The problem is that input data points are 150000 in number where as the predicted … Webmapminmax 一、[Y,PS] = mapminmax(X) 函数功能:将矩阵的每一行压缩到 [-1,1],其中当前行的最大值变为1,最小值变为-1 。 (这是默认的参数) 扩展:(修改参数) [Y,PS] = mapminmax(X,YMIN,YMAX) 将矩阵的每一行压缩到 [YMIN,YMAX],其中当前行的最大值变为YMAX,最小值变为YMIN。 [Y,PS] = mapminmax(X,FP) 其中FP为结构体类型,这 … fizika munkafüzet 7
MAT之SVM/BP:SVR(better)和BP两种方法比较且实现建筑物钢筋 …
Web06. mar 2024. · from sklearn.preprocessing import MinMaxScaler import numpy as np X = [100, -100, 25, 30, 50, 50] X = np.array(X).reshape((-1, 1)) # This line is for converting X … WebThe function mapminmax scales inputs and targets so that they fall in the range [–1,1]. The following code illustrates how to use this function. [pn,ps] = mapminmax (p); [tn,ts] = … 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 … Description. fixunknowns processes matrices by replacing each row … WebMATLAB数据预处理-归一化-mapminmax. 在新版MATLAB中,使用BP神经网络的premnmx函数会出现Warning: PREMNMX is an obsolete function. 的提示. 对于模式识 … fizika munkafüzet megoldások