"Jamaa Ambarak" <jamaa73@yahoo.com> wrote in message <kdphjo$ctq$1@newscl01ah.mathworks.com>...
> "Greg Heath" <heath@alumni.brown.edu> wrote in message <kdgo47$lcd$1@newscl01ah.mathworks.com>...
> > "Greg Heath" <heath@alumni.brown.edu> wrote in message <kdfl30$t82$1@newscl01ah.mathworks.com>...
> >
> > ---SNIP
> >
> > > [ net, tr, Y, E ] = train(net,pn,T); % Yn = sim(net,pn); E = T-Yn
> >
> > Correction: If you do not normalize T, remove the subscript "n" from Y.
> >
> > Greg
> please Greg tell me
> first I have tried to train the neural without normalize but the results are very bad because the data should be normalize (speed velocity is 20-80 mile per hours and the other big also ). I did not normalize T , but how can I convert y back to the original scale using
> y1 =mapminmax('reverse',y,ts);
also how can I validate the training and testing![]()
> "Greg Heath" <heath@alumni.brown.edu> wrote in message <kdgo47$lcd$1@newscl01ah.mathworks.com>...
> > "Greg Heath" <heath@alumni.brown.edu> wrote in message <kdfl30$t82$1@newscl01ah.mathworks.com>...
> >
> > ---SNIP
> >
> > > [ net, tr, Y, E ] = train(net,pn,T); % Yn = sim(net,pn); E = T-Yn
> >
> > Correction: If you do not normalize T, remove the subscript "n" from Y.
> >
> > Greg
> please Greg tell me
> first I have tried to train the neural without normalize but the results are very bad because the data should be normalize (speed velocity is 20-80 mile per hours and the other big also ). I did not normalize T , but how can I convert y back to the original scale using
> y1 =mapminmax('reverse',y,ts);
also how can I validate the training and testing
