Use Classification Neural Network Model for another Dataset
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mustafa alnasser
il 19 Set 2015
Commentato: Greg Heath
il 20 Set 2015
Dear All; I have built an AI model to classify the data using a dataset. Then i try to test this model to classify an external data set but it does not work properly because the code is not properly made , the code is below , could you help me in that :
clc; clear; close all; %Read The data [x1,TXT,RAW]=xlsread('ALL2.xlsx','lnRe'); [t1,TXT2,RAW2]=xlsread('ALL2.xlsx','OUT2');
x=x1';
t=t1';
% Build the model
net= patternnet ([100]);
% net.divideParam.trainRatio = 70/100;
% net.divideParam.valRatio = 15/100;
% net.divideParam.testRatio = 15/100;
% view(net)
net=init(net);
[net,tr] = train(net,x,t);
% Test the Network [x2,TXT3,RAW3]=xlsread('expsettest.xlsx','Ln(Re)'); [t2,TXT4,RAW4]=xlsread('expsettest.xlsx','out-test'); xt=x2'; tt=t2'; outputs = net( xt); errors = gsubtract(tt,outputs); performance = perform(net,tt,outputs)
figure, plotconfusion(tt,outputs)
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Greg Heath
il 20 Set 2015
100 hidden nodes appears to be a ridiculous number.
Why don't you start by just using all defaults.
help patternnet
doc patternnet
Then Search NEWSGROUP and ANSWERS using
greg patternnet
Hope this helps.
Thank you for formally accepting my answer
Greg
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