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|Type:||Artigo de evento|
|Title:||Long-term Time Series Prediction Using Wrappers For Variable Selection And Clustering For Data Partition|
Dos Santos E.P.
Von Zuben F.J.
|Abstract:||In an attempt to implement long-term time series prediction based on the recursive application of a one-step-ahead multilayer neural network predictor, we have considered the eleven short time series provided by the organizers of the Special Session NN3 Neural Network Forecasting Competition, and have proposed a joint application of a variable selection technique and a clustering procedure. The purpose was to define unbiased partition subsets and predictors with high generalization capability, based on a wrapper methodology. The proposed approach overcomes the performance of the predictor that considers all the lags in the regression vector. After obtaining the eleven long-term predictors, we conclude the paper presenting the eighteen multi-step predictions for each time series, as requested in the competition. ©2007 IEEE.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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