我正在尝试使用 nprtool 和手动训练神经网络，调用 newpr 和 train 方法。我使用面向行的样本，而不是默认的列：
使用 nprtool 没有问题，但是当我调用自动生成的 M 文件时，输出为：
??? Error using ==> network.train at 145
Targets are incorrectly sized for network.
Matrix must have 24 columns.
Error in ==> create_pr_net at 29
[net,tr] = train(net,inputs,targets);
我的输入是 140x24，我的目标是 140x3。
Matlab生成的代码为：
function net = create_pr_net(inputs,targets)
%CREATE_PR_NET Creates and trains a pattern recognition neural network.
%
% NET = CREATE_PR_NET(INPUTS,TARGETS) takes these arguments:
% INPUTS - RxQ matrix of Q R-element input samples
% TARGETS - SxQ matrix of Q S-element associated target samples, where
% each column contains a single 1, with all other elements set to 0.
% and returns these results:
% NET - The trained neural network
%
% For example, to solve the Iris dataset problem with this function:
%
% load iris_dataset
% net = create_pr_net(irisInputs,irisTargets);
% irisOutputs = sim(net,irisInputs);
%
% To reproduce the results you obtained in NPRTOOL:
%
% net = create_pr_net(inputs,targets);
% Create Network
numHiddenNeurons = 2000; % Adjust as desired
net = newpr(inputs,targets,numHiddenNeurons);
net.divideParam.trainRatio = 90/100; % Adjust as desired
net.divideParam.valRatio = 5/100; % Adjust as desired
net.divideParam.testRatio = 5/100; % Adjust as desired
% Train and Apply Network
[net,tr] = train(net,inputs,targets);
outputs = sim(net,inputs);
% Plot
plotperf(tr)
plotconfusion(targets,outputs)
我正在使用 Matlab R2010a。
谢谢。