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Neural Networks
Forecasting Competition
sponsored by
 

 

NN3 is a new forecasting competition for 2006-2007!

Please follow the link to the "Forecasting Competition for Neural Networks and Computational Intelligence".

 

Objectives?

  • What is the performance (accuracy, robustness & resources) of NN in comparison to established forecasting methods?
  • What are the current “best practice” methodologies utilised by researchers to model NN for time series forecasting?

Methods

  • Feed forward Neural Networks
  • Recurrent Neural Networks
  • Fuzzy & Hybrid apporaches
  • Decision & Regression Trees
  • Support Vector Machines
  • other methods from Computational Intelligence!

Dataset

  • Multiple empirical Time Series
  • Complete set of 111 time series
  • Reduced set of 11 time series
  • Representative structures (long & short time series)
  • Re-scaled observations for anonymity
  • No domain knowledge
  • Single origin

Dates

  • 1 August 2006 - Release website
  • 1 September 2006 - Publication of reduced dataset (11 time series)
  • 1 October 2006 - Publication of complete dataset (111 time series, 90 additional series)
  • May - Predictions submissions due
  • June & July - publication of preliminary results at various conferences in USA, UK etc.
  • August - submissions to full publications

 

For some additional, preliminary information please find selection of the kick-off meeting at the 2006 International Symposium on Forecasting, ISF'07, Santander, Spain.

 

 

 

... more information on August 1st, 2006!


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