mynn.m

function [outputs] =mynn(X,yxx)
% Solve a Pattern Recognition Problem with a Neural Network
% Script generated by NPRTOOL
% Created Tue Dec 20 13:02:47 AST 2016
%
% This script assumes these variables are defined:
%
%   X - input data.
%   yxx - target data.

inputs = X';
targets = yxx';

% 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,inputs,targets);

% Test the Network
outputs = net(inputs);
errors = gsubtract(targets,outputs);
% performance = perform(net,targets,outputs);


 %view(net)

 %Plots
%  %Uncomment these lines to enable various plots.
% figure, plotperform(tr)
% figure, plottrainstate(tr)
% figure, plotconfusion(targets,outputs)
% figure, plotroc(targets,outputs)
% figure, ploterrhist(errors)