Input and target have different number of sampel

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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

Accepted Answer

Greg Heath
Greg Heath on 21 Mar 2019
Train and TTrain have to be transposed.
Hope this helps.
THANK YOU FOR FORMALLY ACCEPTING MY ANSWER
Greg

More Answers (2)

Osama Tabbakh
Osama Tabbakh on 20 Mar 2019
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.

SULE
SULE on 29 Dec 2023
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.

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