88 search results - page 6 / 18 » A Wavelet Transfer Model for Time Series Forecasting |
GECCO
2008
Springer
14 years 11 months ago
2008
Springer
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...
KDD
1998
ACM
15 years 2 months ago
1998
ACM
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
WSC
2004
14 years 11 months ago
2004
Forecasting is of prime importance for accuracy in decision making. For data sets containing high autocorrelations, failure to account for temporal dependence will result in poor ...
141
click to vote
NPL
2011
14 years 23 days ago
2011
The accuracy of a model to forecast a time series diminishes as the prediction horizon increases, in particular when the prediction is carried out recursively. Such decay is faster...
122
click to vote
ICANN
2010
Springer
14 years 8 months ago
2010
Springer
Accurate time series forecasting are important for several business, research, and application of engineering systems. Evolutionary Neural Networks are particularly appealing becau...