How can i do if i want to test the network created with new input ?
Hi , i used the neural Network start (nnstart) for pattern recognition and i got this script % Solve a Pattern Recognition Problem with a Neural Network % Script generated by Neural Pattern Recognition app % Created 29-May-2017 14:25:55 % % This script assumes these variables are defined: % % inputepilepsie - input data. % targetepilepsie - target data. x = inputepilepsie; t = targetepilepsie; % Choose a Training Function % For a list of all training functions type: help nntrain % 'trainlm' is usually fastest. % 'trainbr' takes longer but may be better for challenging problems. % 'trainscg' uses less memory. Suitable in low memory situations. trainFcn = 'trainscg'; % Scaled conjugate gradient backpropagation. % Create a Pattern Recognition Network hiddenLayerSize = 10; net = patternnet(hiddenLayerSize); % Setup 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,x,t); % Test the Network y = net(x); e = gsubtract(t,y); performance = perform(net,t,y) tind = vec2ind(t); yind = vec2ind(y); percentErrors = sum(tind ~= yind)/numel(tind); % View the Network view(net) % Plots % Uncomment these lines to enable various plots. %figure, plotperform(tr) %figure, plottrainstate(tr) %figure, ploterrhist(e) %figure, plotconfusion(t,y) %figure, plotroc(t,y) I want to know how can i do if i want to test the network with new input ?
John Williams answered .
2025-11-20
% Test the Network with new data ynew = net(xnew); enew = gsubtract(tnew,ynew); performancenew = perform(net,tnew,ynew) tindnew = vec2ind(tnew); yindnew = vec2ind(ynew); percentErrorsnew = sum(tindnew ~= yindnew)/numel(tindnew);