How to know all neural network characteristics

I have used the train function of a net built via the newpr function in order to obtain a neural network (the network has 2 inputs, 2 hidden layers with 4 neurons each, and 2 outputs). Now, I would like to know all the characteristic of the final net. I am able to see the 4x2, 4x4, and 2x4 matrices corresponding to the links between neurons. I am also able to see the 4x1, 4x1, and 2x1 matrices corresponding to the biases. Since I am using the newpr function, I assume that the Logsig or the Tansig function is used at each (non input) neuron. However, if I simulate the network with all these parameters (even, for instance, in an Excel spreadsheet) I do not obtain the same results of MatLab with the same inputs. Is there something I am missing? For instance, could it be that the input are pre-processed and the output are post-processed? Thank you for any help!

Answer 1

[Nikhil Sreekumar]

Hi Pierluigi,

Have you checked the disp function that lets you see all the properties of the created Neural network?

Also, I found a few links that might help you with Neural Net usage:

• Export a neural network trained with MATLAB in other programming languages
• Choose Neural Network Input-Output Processing Functions

Thanks

Nikhil