# 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 ?

# ANSWER

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`% 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);

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