How to improve the performance of my neural network

Question

afef 2017-6-28

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https://ww2.mathworks.cn/matlabcentral/answers/346577-how-to-improve-the-performance-of-my-neural-network

评论： Kaan Simsek 2021-4-22

Hi,i'm trying to create neural network for binary classification of epileptic seizure so i have 2 classes either normal or abnormal and 9 features using an input matrix with a size of [9 981] and target matrix [1 981] . This is my code :

rng(0);  
inputs = patientInputs;
targets = patientTargets;
[x,ps] = mapminmax(inputs);
t=targets; 
trainFcn = 'trainbr';  
% Create a Pattern Recognition Network
hiddenLayerSize =8;
net = patternnet(hiddenLayerSize,trainFcn);
net.divideFcn = 'dividerand';  % Divide data randomly
net.divideMode = 'sample';  % Divide up every sample
net.divideParam.trainRatio = 70/100;
net.divideParam.valRatio = 15/100;
net.divideParam.testRatio = 15/100;
net.performFcn = 'mse';  
net.trainParam.max_fail=6;
% Choose Plot Functions
% For a list of all plot functions type: help nnplot
net.plotFcns = {'plotperform','plottrainstate','ploterrhist', ...
  'plotconfusion', 'plotroc'};
 % Train the Network
net= configure(net,x,t);
[net,tr] = train(net,x,t);
 y = net(x);
e = gsubtract(t,y);
performance = perform(net,t,y)
tind = vec2ind(t);
yind = vec2ind(y);
percentErrors = sum(tind ~= yind)/numel(tind);
 % Recalculate Training, Validation and Test Performance
trainTargets = t .* tr.trainMask{1};
valTargets = t .* tr.valMask{1};
testTargets = t .* tr.testMask{1};
trainPerformance = perform(net,trainTargets,y)
valPerformance = perform(net,valTargets,y)
testPerformance = perform(net,testTargets,y)
 % View the Network
view(net)

Unti now i reach only this accuracy with the confusion matrix and i hope to improve it more than this so can anyone help me please ?

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Kaan Simsek 2021-4-22

Hello there. I am a senior student in biomedical engineering. I chose "The detection of the epileptic seizures using CHB-MIT Scalp EEG Database with Deep Learning and CNN" for my graduation thesis. My consultant asked me to use the data on this link "https://www.physionet.org/content/chbmit/1.0.0/". Please help me for the matlap code.Kaansimsek94@gmail.com

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Answer 1

Marco Giuliani 2017-9-8

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The first thing I'd suggest is to try a different number of neurons in the hidden layer. Try spacing from 4 to 20 and check the accuracy result. Then you could also try using another learning algorithm, for example the Levenberg-Marquardt.