clear
run('fdm_trainingdata.m');
inputs = trainingdata(:,1:2)';
targets = trainingdata(:,3:4)';
hiddenLayerSize = [15 15];
net = fitnet(hiddenLayerSize);
net.divideParam.trainRatio = 1;
net.divideParam.valRatio = 0;
net.divideParam.testRatio = 0;
[net,tr] = train(net,inputs,targets);
outputs = net(inputs);
errors = gsubtract(outputs,targets);
performance = perform(net,targets,outputs)
view(net)