As I am not advanced user of Matlab, maybe this is a stupid question for you.
Basically I have 6 experiments; each experiment has 9 parameters (x1,x2…x9) and one output value (Y).
Experiment matrix is following:
# x1 x2 x3 x4 x5 x6 x7 x8 x9 Y123456
All x parameters and Y parameter are experimental, and I want to use neural networks to build a relationship between all x and Y (e.g. formula that would consist of all x parameters, which would bring to Y parameter as close as possible.) And build a code, so that when I enter new x values, it would predict Y value.
I would appreciate any tips, how to get it done.
Thanks and best regards, Vitaly