Help using Neural Network to predict new outputs from new data.

I am uncertain how to implement my new training program to calculate an output from new inputs. I trained my program using neural network fitting with 119x7 input matrix and 119x2 output matrix. It produced a great fit with R equal to about 98 and MSE of about 99. I printed the basic script and saved all of the files (i.e. net outputs inputs errors etc). I have new data which I want to use as inputs and I want the program to predict or estimate the outputs from these new inputs. I am unsure of how to do this in the command line because we will continue to upload and require new data for this project.

[Greg Heath]

How do we know that R = 98 and MSE = 99 are good results? What is the target variance? How much of it is modeled by the net?

Answer 1

[Greg Heath]

 It is as simple as 

 ynew = net(xnew);

 Hope this helps.

Thank you for formally accepting my answer

Greg