(Forwarded after a mistake during moderation process. Raph)
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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.Objectives
Forecast one of two sets of eihter 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).Methods
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 analysisPublication of Results
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).Dates & deadlines
20 October 2006 Publication of reduced & complete dataset May 2007 Predictions 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 ScienceLancaster University Management School
Lancaster LA1 4YX
United KingdomTel +44 (0)1524 592991direct
Tel +44 (0)1524 593867 department
Fax +44 (0)1524 844885Internet http://www.lums.lancs.ac.uk
eMail [EMAIL PROTECTED]
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