matlab中关于错误使用 network/train (line 340) Output data size does not match net.outputs{2}.size.

Question

% 将第一类的29-264,第二类的294-546,第三类的576-699做为训练集
P_train = [breast_cancer_wisconsin(29:264,2:10);breast_cancer_wisconsin(294:546,2:10);breast_cancer_wisconsin(576:699,2:10)]';
% 相应的训练集的标签也要分离出来
Tc_train = [breast_cancer_wisconsin_class(29:264);breast_cancer_wisconsin_class(294:546);breast_cancer_wisconsin_class(576:699)]';
% 将第一类的1-28,第二类的265-293,第三类的547-575做为测试集
P_test = [breast_cancer_wisconsin(1:28,2:10);breast_cancer_wisconsin(265:293,2:10);breast_cancer_wisconsin(547:575,2:10)]';
% 相应的测试集的标签也要分离出来
Tc_test = [breast_cancer_wisconsin_class(1:28);breast_cancer_wisconsin_class(265:293);breast_cancer_wisconsin_class(547:575)]';

% 训练数据
% P_train = Train(:,3:end)';
% Tc_train = Train(:,2)';
T_train = ind2vec(Tc_train);
% 测试数据
% P_test = Test(:,3:end)';
% Tc_test = Test(:,2)';

%% 创建网络
count_B = length(find(Tc_train == 4));
count_M = length(find(Tc_train == 2));
%rate_B = count_B/500;
%rate_M = count_M/500;
rate_B = count_B/613;
rate_M = count_M/613;
net = newlvq(minmax(P_train),20,[rate_B rate_M],0.01,'learnlv1');
% 设置网络参数
net.trainParam.epochs = 1000;%设置训练训练次数
net.trainParam.show = 10;%设置数据显示刷新频率，学习次刷新一次图象
%net.trainParam.lr = 0.1; % 学习速率，这里设置为0.1
net.trainParam.lr = 0.1; % 学习速率，这里设置为0.01
net.trainParam.goal = 0.1;% 训练目标最小误差，这里设置为0.1

%% 训练网络
net = train(net,P_train,T_train);

%% 仿真测试
T_sim = sim(net,P_test);
Tc_sim = vec2ind(T_sim);
result = [Tc_sim;Tc_test]
在运行到net = train(net,P_train,T_train);时报>> net = train(net,P_train,T_train);
错误使用 network/train (line 340)
Output data size does not match net.outputs{2}.size.这个错误，上面是程序。求大神解答

Answer 1

上面显示的错误是你训练数据集和你net模型的输出数据集不匹配。可以检查一下你的训练数据的的维度和net模型的维度是否一致