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***   NN3 Neural Networks Forecasting Competition    ***
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The 2006-2007 Forecasting Competition for Neural Networks and Computational
Intelligence Methods has started!
Please visit the NN3 website at
http://www.neural-forecasting-competition.com/ for further instructions.

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Objectives
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Forecast a set of 11 or 111 time series as accurately as possible, using
methods from computational intelligence and a consistent methodology. We
hope to evaluate progress in modelling neural networks for forecasting & to
disseminate knowledge on "best practices". The competition is for academic
purposes and supported by a grant from SAS & the International Institute of
Forecasters (IIF). 

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Methods
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The prediction competition is open to all methods of computational
intelligence, incl. feed-forward and recurrent neural networks, fuzzy
predictors, decision & regression tress, support vector regression, hybrid
approaches etc. used in financial forecasting, statistical prediction, time
series analysis

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Publication of Results
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The results will be presented at various conferences in 2007. All those
submitting predictions will be invited to participate in Events at ISF'07,
New York, IJCNN'07, Orlando (pending), DMIN'07, Las Vegas (pending) and
LUMS'07, Manchester, and submit papers to those special sessions. All
submissions will invited for a full publication in an edited book "Advances
of Neural Forecasting", Springer (ISI SCI, DBLP etc. indexed), subject to
acceptance (pending). The most successful authors will be invited for a
joint submission to the highly acclaimed International Journal of
Forecasting (ISI SCI, DBLP etc. indexed). 

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Dates & deadlines
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20 October 2006 Publication of reduced & complete dataset
May 2007        Prediction submissions due
June&July 2007  Publication of preliminary results at various conferences in
USA, UK etc
August 2007     Submissions to full publications

GOOD LUCK!

Sven F. Crone & Konstantinos Nikolopoulos

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Sven F. Crone
Deputy Director, Lancaster Centre for Forecasting 
Lecturer (Ass. Prof.), Department of Management Science
Lancaster University Management School 
Lancaster LA1 4YX
United Kingdom
Internet http://www.lums.lancs.ac.uk 
eMail    [log in to unmask] 
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