A linear hybrid methodology for improving accuracy of time series forecasting
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-013-1480-1.pdf
Reference38 articles.
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2. Zhang GP (2007) A neural network ensemble method with jittered training data for time series forecasting. Inform Sci 177(23):5329–5346
3. Box GEP, Jenkins GM (1970) Time series analysis, forecasting and control, 3rd edn. Holden-Day, California
4. Andrawis RR, Atiya AF, El-Shishiny H (2011) Forecast combinations of computational intelligence and linear models for the NN5 time series forecasting competition. Int J Forecast 27(3):672–688
5. Lemke C, Gabrys B (2010) Meta-learning for time series forecasting and forecast combination. Neurocomputing 73:2006–2016
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