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» Time series prediction using DirRec strategy
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ESANN
2004
13 years 8 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
PVLDB
2008
138views more  PVLDB 2008»
13 years 6 months ago
A skip-list approach for efficiently processing forecasting queries
Time series data is common in many settings including scientific and financial applications. In these applications, the amount of data is often very large. We seek to support pred...
Tingjian Ge, Stanley B. Zdonik
IJON
2002
103views more  IJON 2002»
13 years 7 months ago
RBF networks training using a dual extended Kalman filter
: A new supervised learning procedure for training RBF networks is proposed. It uses a pair of parallel running Kalman filters to sequentially update both the output weights and th...
Iulian B. Ciocoiu
CORR
2007
Springer
102views Education» more  CORR 2007»
13 years 7 months ago
Time Series Forecasting: Obtaining Long Term Trends with Self-Organizing Maps
Kohonen self-organisation maps are a well know classification tool, commonly used in a wide variety of problems, but with limited applications in time series forecasting context....
Geoffroy Simon, Amaury Lendasse, Marie Cottrell, J...
ICIC
2005
Springer
14 years 27 days ago
A Nonlinear Adaptive Predictive Control Algorithm Based on OFS Model
Firstly, a method is introduced which uses Volterra series deploying technique to construct a nonlinear model based on OFS model. Then an improved novel incremental mode multiple s...
Haitao Zhang, Zonghai Chen, Ming Li, Wei Xiang, Ti...