How to train data in Neural Network
조회 수: 2 (최근 30일)
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Hi all,
I am working on neural network to study cancer data, which has 680 record and labels. I just want to study the data and classify them to e classes. I've tried to write a code on matlab and I got result. But I don't know if it's correct or not.
So could you help me?
Thanks in advance.
close all, clear all, format compact
[num]= xlsread('Cdata2.xlsx');
[r,c] = size(num);
x = num(: ,1:c-1);
t = num(:,c);
inputs = x';
targets = t';
% Create a Pattern Recognition Network
hiddenLayerSize = 10;
net = patternnet(hiddenLayerSize);
% Set up Division of Data for Training, Validation, Testing
net.divideParam.trainRatio = 70/100;
net.divideParam.valRatio = 15/100;
net.divideParam.testRatio = 15/100;
% Train the Network
[net,tr] = train(net,inputs,targets);
% Test the Network
outputs = net(inputs);
errors = gsubtract(targets,outputs);
performance = perform(net,targets,outputs);
perf = mse(net,targets,outputs);
% View the Network
view(net)
figure, plotregression(targets,outputs)
% Uncomment these lines to enable various plots.
%figure, plotperform(tr)
%figure, plottrainstate(tr)
figure, plotconfusion(targets,outputs)
%figure, ploterrhist(errors)
댓글 수: 1
채택된 답변
Greg Heath
2013년 11월 14일
You need to
1. Initialize the RNG before train so that you can duplicate your results
2. Convert your output to percent error rates or correct classification rates for
the train/val/test subsets of each class.
3. Search using
greg patternnet
for some examples.
Hope this helps.
Thank you for formally accepting my answer
Greg
P.S. If you try your code on one of the MATLAB classification examples, we can compare results
help nndatasets
댓글 수: 3
Greg Heath
2014년 2월 12일
Sorry I missed you in Nov. I usually search on the word "neural".
Any more questions?
추가 답변 (1개)
lyba waseem
2019년 6월 26일
can someone help me???
i need help regarding neural network...
i am making a website that gives u prediction about which study line you choose after 12.. and i am using neural network soo if anyone of you can help me i'll be very thankful.
its urgent
Thanks in advance....
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