Displaying MSE values at training,validation and testing ratios

Just started learning about neural networks and have been using the neural net fitting tool box. I've taken the code and tried adding an extra layer which has been successful but i dont know how to find these MSE values?

heres my code:

% Solve an Input-Output Fitting problem with a Neural Network

% Pressure - input data.

% Output - target data.

input=xlsread('NEW DATA.xlsx',1,'E7:E39');

x = input';

output=xlsread('NEW DATA.xlsx',1,'H7:I39');

t = output';

% Choose a Training Function

trainFcn = 'trainlm'; % Levenberg-Marquardt backpropagation.

% Create a Fitting Network

hiddenLayer1Size = 80;

hiddenLayer2Size = 40;

net = fitnet([hiddenLayer1Size hiddenLayer2Size],trainFcn);

% Setup Division of Data for Training, Validation, Testing

net.divideParam.trainRatio = 80/100;

net.divideParam.valRatio = 5/100;

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)

view(net)

Answer 1

[Vimal Rathod]

Hi,

Below is a link to similar question which could be of your use.

https://www.mathworks.com/matlabcentral/answers/405606-how-to-calculate-the-mse-for-multi-output-neural-network

Hope this helps!