Hi all, First post hope its not too negative for a newbie:

I downloaded and got the Aforge lib working, really good start for a newbie in C#, and its promises much!!!!

so a time series prediction: What I expect: given a set of data, it trains for best solution, and returns it!

Given a set of data values in data[] array, ok, mine is really simple because there is much complexity here and terms that are not explained:

double[] data = new double[10] { 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32};

code: returns solution of: $6 $0 +

which means ( If I have understood rpn, newbie on this too )

$6 + $0, advanced for a newbie

Now lets get really clear on this:

where does it say what $6 and $0 relate too, constants, data, args of the function?

Andrew, please, just post a link to the actual page that EXPLAINS WHAT THESE ARE? the page you posted to the guy who reply here was not an answer, it confused him and me.

Given this Solution how do we apply it to get the next in the sequence, which I think must be 34, right?

Real simple, please cos i'm real stupid

Kind Regards, Carl