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http://www.neural-forecasting-competition.com/index.htm

Objectives
We seek to evaluate the accuracy of computational intelligence (CI)
methods in time series forecasting, extending the earlier NN3
forecasting competition unto a new set of daily data. We hope to
evaluate progress in modelling neural networks for forecasting & to
disseminate knowledge on "best practices". The competition is
conducted for academic purposes and should not be exploited commercially.

Methods
The prediction competition is open to all methods of computational
intelligence, incl. feed-forward and recurrent neural networks, fuzzy
predictors, evolutionary & genetic algorithms, decision & regression
tress, support vector regression, hybrid approaches etc. used in
financial forecasting, statistical prediction, time series analysis.
We also welcome submission of statistical methods as benchmarks, but
they are not eligible to "win" the NN5.

Important Dates
18 February 2008  Start of the NN5 daily time series forecasting
competition
18 May 2008  Submission deadline for predictions of 11 and 111 time series


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