Input and target have different number of sampel

Hi, I have some code her and following some example how to create neural network using toolbox. I have matrix with dimension like below

load datatrain1.mat 
input = cell2mat(Train); %220x25 dimension

load classtrain1.mat
target = cell2mat(TTrain); %220x1 dimension

net = newff(input,target,[100 11],{'logsig','logsig'},'trainlm');
net.trainParam.epochs = 1000;
net.trainParam.goal = 1e-6;
net = train(net,input,target);
output = round(sim(net,input));

But when I run this code I get Error. In this code

net = train(net,input,target);

The error like this Inputs and targets have different numbers of samples.

How I fix it? is there any way for fix it?

Any help will be must appreciated. Thanks

Answer 1

[Greg Heath]

Train and TTrain have to be transposed.

Hope this helps.

THANK YOU FOR FORMALLY ACCEPTING MY ANSWER

Greg

[Oman Wisni]

Thank you for the answer Mr.Greg

Answer 2

[Osama Tabbakh]

You have to let the whole data in cell, so that Matlab know which input belong to which target.

p     %% input 
p = con2seq (p);
t     %% target 
t = con2seq (t);
net = newff(p,t,[2 2]);
net.divideParam.trainRatio=0.7;
net.divideParam.testRatio=0.15;
net.divideParam.valRatio=0.15;
net.trainParam.lr=0.01;
net.trainParam.min_grad=1e-20;
net.trainParam.goal=1e-30;
net.trainParam.epochs=200;
net = train(net,p,t);

But when you do this there will be no test and validation. I don't know why.

[Oman Wisni]

Thank you for the answer sir,

Answer 3

[SULE]

function [ ye yv ] = neuralnetwork(input,target,training_rate,n1,n2, lrate)

%NEURALNETWORK Summary of this function goes here

% Detailed explanation goes here

% %70 training ve %30 validation

noofdata=size(input,1);

ntd=round(noofdata*training_rate);

xt=input(1:ntd,:);

xv=input(ntd+1:end,:);

yt=target(1:ntd);

yv=target(ntd+1:end);

xt=xt';

xv=xv';

yt=yt';

yv=yv';

xtn=mapminmax(xt);

xvn=mapminmax(xv);

[ytn, ps]=mapminmax(yt);

yv=mapminmax(yv);

net=newff(xtn,ytn,[n1,n2],(''),'trainlm');

net.trainParam.lr=lrate;

net.trainParam.epochs=10000;

net.trainParam.goal=1e-20;

net.trainParam.show=NaN;

net=train(net,xtn,ytn);

yen=sim(net,xvn);

ye=mapminmax('reverse',yen,ps);

ye=ye';

yv=yv';

end

This code not work and i do not know why.I need help

??? Error using ==> trainlm at 109

Inputs and targets have different numbers of samples.