Question

我正在研究一个多层感知器分类器（关于费希尔虹膜数据集，所以多类分类），我得到上面提到的（在这个问题的标题上）错误。

CODE：

% Perceptron(Multilayer perceptron)

% coding (+1/-1) of 3 classes
a = [-1 -1 +1]';   %'
b = [-1 +1 -1]';   %'
c = [+1 -1 -1]';   %'
% define training inputs
rand_ind = randperm(50);
trainSeto = meas(rand_ind(1:35),:);
trainVers = meas(50 + rand_ind(1:35),:);
trainVirg = meas(100 + rand_ind(1:35),:);
trainInp = [trainSeto trainVers trainVirg];
% define targets
tmp1 = repmat(a,1,length(trainSeto));
tmp2 = repmat(b,1,length(trainVers));
tmp3 = repmat(c,1,length(trainVirg));
T = [tmp1 tmp2 tmp3];
clear tmp1 tmp2 tmp3;
%% network training
trainCor = zeros(10,10);
valCor = zeros(10,10);
Xn = zeros(1,10);
Yn = zeros(1,10);
for k = 1:10
    Yn(1,k) = k;
    for n = 1:10
        Xn(1,n) = n;
        net = newff(trainInp,T,[k n],{},'trainbfg');
        net = init(net);
        net.divideParam.trainRatio = 1;
        net.divideParam.valRatio = 0;
        net.divideParam.testRatio = 0;
        %net.trainParam.show = NaN;
        net.trainParam.max_fail = 2;
        valSeto = 0;
        valVers = 1;
        valVirg = 2;
        valInp = [valSeto valVers valVirg];
        VV.P = valInp;
        tmp1 = repmat(a,1,length(valSeto));
        tmp2 = repmat(b,1,length(valVers));
        tmp3 = repmat(c,1,length(valVirg));
        valT = [tmp1 tmp2 tmp3];
        net = train(net,trainInp,T,[],[],VV);%,TV); //HERE IS THE ERROR!
        Y = sim(net,trainInp);
        [Yval,Pfval,Afval,Eval,perfval] = sim(net,valInp,[],[],valT);
        % calculate [%] of correct classifications
        trainCor(k,n) = 100 * length(find(T.*Y > 0)) / length(T);
        valCor(k,n) = 100 * length(find(valT.*Yval > 0)) / length(valT);
    end
end
clear tmp1 tmp2 tmp3;
figure;
surf(Xn,Yn,trainCor/3);
view(2);
figure;
surf(Xn,Yn,valCor/3);
view(2);
%% final training
k = 3;
n = 3;
fintrain = [trainInp valInp];
finT = [T valT];
net = newff(fintrain,finT,[k n],{},'trainbfg');
net.divideParam.trainRatio = 1;
net.divideParam.valRatio = 0;
net.divideParam.testRatio = 0;
net = train(net,fintrain,finT);
finY = sim(net,fintrain);
finCor = 100 * length(find(finT.*finY > 0)) / length(finT);
fprintf('Num of neurons in 1st layer  = %d\n',net.layers{1}.size);
fprintf('Num of neurons in 2nd layer  = %d\n',net.layers{2}.size);
fprintf('Correct class   = %.3f %%\n',finCor/3);
%% Testing
% define test set
testInp = [testSeto testVers testVirg];
tmp1 = repmat(a,1,length(testSeto));
tmp2 = repmat(b,1,length(testVers));
tmp3 = repmat(c,1,length(testVirg));
testT = [tmp1 tmp2 tmp3];
testOut = sim(net,testInp);
testCor = 100 * length(find(testT.*testOut > 0)) / length(testT);
fprintf('Correct class   = %.3f %%\n',testCor/3);
% plot targets and network response
clear tmp1 tmp2 tmp3;
figure;
plot(testT');   %'
xlim([1 21]);
ylim([0 2]);
set(gca,'ytick',[1 2 3]);
hold on;
grid on;
plot(testOut','r');   %'
legend('Targets','Network response');
xlabel('Sample No.');

那么，为什么我会收到此错误，我该如何解决？

修改

发生错误的行如下：

net = train(net,trainInp,T,[],[],VV);%,TV);

错误讯息：

Function 'subsindex' is not defined for values of class 'network'.

Error in first_exercise (line 260)
    net = train(net,trainInp,T,[],[],VV);%,TV);

Error in run (line 96)
evalin('caller', [script ';']);

错误：功能＆＃39; subsindex＆＃39;未定义类＆＃39; network＆＃39;

0 个答案: