SOS!any good curve fitting/data analysis technique for this problem?

"Jerry Avins" <jya@ieee.org> wrote in message
news:bnbiin$7pm$2@bob.news.rcn.net...
> walala wrote:
>
>    ...
>
>
> > Can I just do the following, I try to get my training range as large as
> > possible(not data points as large as possible, since I need time to
generate
> > data points...I am slow...). then the training range should include all
> > possible test data, right. That's to say, origianlly I train from 0 to
8,
> > but test with 10, but now I train from 0 to 10, then test with 8...
maybe
> > that's better?
> >
> > -Walala
>
> Much better. I think that will work.
>
> Jerry
> -- 
> Engineering is the art of making what you want from things you can get.
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>

Yeah, I will try to get as many as possible "extreme" cases to expand the
training range. Then all testing case will be just "interpolate" , instead
of "extrapolate".

I heard that polynomial fit is bad for multi-input/multi-variable case. I am
going to try neural networks... do you know which NN is best for such tasks?

Thanks a lot,

-Walala