Re: Forecasting Competition for Neural Networks & Computational Intelligence Methods
- From: "Tomasso" <nospam@xxxxxxxxxx>
- Date: Sun, 7 Jan 2007 23:47:03 +1100
"Lionel B" <me@xxxxxxxxxxx> wrote in message news:sx5oh.54753$HV6.52056@xxxxxxxxxxxxxxxxxxxxxxx
Kent Paul Dolan wrote:"A. M. G. Solo" <amgsolo@xxxxxxxxx> wrote
Objectives Forecast a set of 11 or 111 time series as accurately as
possible, using methods from computational intelligence and a consistent methodology.
Since there is a rather well known theorem of mathematics that given the first N entries of a series, the N+1st member is unpredictable even in concept,
I suppose it might be a merry jape to hold a time series prediction
competition and then supply the competitors with completely
unpredictable data. Looking at the website, however, suggests that this
is a serious effort and one might thus presume that the data will have
some statistical features (eg. some kind of auto-regressive structure)
that could enable prediction.
your scoring criteia must be "interesting".
It is explained on the website.
A friend?
.
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