Input and target have different number of sampel

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Oman Wisni
Oman Wisni 2018-11-14
回答： SULE 2023-12-29
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

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采纳的回答

Greg Heath
Greg Heath 2019-3-21
Train and TTrain have to be transposed.
Hope this helps.
THANK YOU FOR FORMALLY ACCEPTING MY ANSWER
Greg

更多回答（2 个）

Osama Tabbakh
Osama Tabbakh 2019-3-20
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 2023-12-29
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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