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» Time Series Forecasting by means of Evolutionary Algorithms
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ESANN
2008
13 years 7 months ago
Do we need experts for time series forecasting?
This study examines a selection of off-the-shelf forecasting and forecast combination algorithms with a focus on assessing their practical relevance by drawing conclusions for non-...
Christiane Lemke, Bogdan Gabrys
ICANN
2010
Springer
13 years 3 months ago
Time Series Forecasting by Evolving Artificial Neural Networks Using "Shuffle", Cross-Validation and Ensembles
Accurate time series forecasting are important for several business, research, and application of engineering systems. Evolutionary Neural Networks are particularly appealing becau...
Juan Peralta, Germán Gutiérrez, Arac...
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 6 months ago
A hybrid method for tuning neural network for time series forecasting
This paper presents an study about a new Hybrid method GRASPES - for time series prediction, inspired in F. Takens theorem and based on a multi-start metaheuristic for combinatori...
Aranildo Rodrigues Lima Junior, Tiago Alessandro E...
CSDA
2006
191views more  CSDA 2006»
13 years 5 months ago
Forecasting daily time series using periodic unobserved components time series models
We explore a periodic analysis in the context of unobserved components time series models that decompose time series into components of interest such as trend, seasonal and irregu...
Siem Jan Koopman, Marius Ooms
ESANN
2004
13 years 7 months ago
Soft-computing techniques for time series forecasting
One way to contrast the behaviour of different algorithms in the field of timeseries forecasting is to compare the prediction error using a benchmark problem. Another interesting ...
Ignacio Rojas Ruiz, Héctor Pomares