Data Driven Fitting Sample Selection For Time Series Forecasting With Neural Networks
N. Kourentzes, 2012, International Joint Conference on Neural Networks, Brisbane, 10-15 June 2012.
Tag Archives: automatic specification
Feature selection for time series prediction – A combined filter and wrapper approach for neural networks
S. F. Crone and N. Kourentzes, 2010, Neurocomputing, 73: 1923-1936. http://dx.doi.org/10.1016/j.neucom.2010.01.017
Frequency independent automatic input variable selection for neural networks for forecasting
N. Kourentzes and S. F. Crone, 2010, International Joint Conference on Neural Networks, Barcelona Spain, 18-23 July 2010.
Evaluation of input variable selection methodologies for multilayer perceptrons for high frequency time series
N. Kourentzes and S. F. Crone, 2009, The 29th Annual international Symposium on Forecasting, Hong Kong.
Input-variable specification for neural networks – an analysis of forecasting low and high time series frequency
S. F. Crone and N. Kourentzes, 2009, IJCNN’09, Atlanta, USA, IEEE: New York, pp. 3221-3228.
Automatic modelling of neural networks for time series prediction – in search of a uniform methodology across varying time frequencies
N. Kourentzes and S. F. Crone, 2008, Proceedings of the 2nd European Symposium on Time Series Prediction, ESTSP’08, Helsinki, Finland.