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GECCO
2008
Springer
14 years 10 months ago
2008
Springer
In this work an improvement of an initial approach to design Artificial Neural Networks to forecast Time Series is tackled, and the automatic process to design Artificial Neural N...
NN
2007
Springer
14 years 9 months ago
2007
Springer
ESWA
2007
14 years 9 months ago
2007
Forecasting airborne pollen concentrations is one of the most studied topics in aerobiology, due to its crucial application to allergology. The most used tools for this problem ar...
ITNG
2010
IEEE
15 years 2 months ago
2010
IEEE
This paper demonstrates the feasibility and potential of applying empirical mode decomposition (EMD) to forecast the arrival time behaviors in a parallel batch system. An analysis...
CORR
2011
Springer
14 years 4 months ago
2011
Springer
Forecasting sequences by expert ensembles generally assumes stationary or near-stationary processes; however, in complex systems and many real-world applications, we are frequentl...