30 search results - page 3 / 6 » Forecasting Time Series with a New Architecture for Polynomi... |
GECCO
2008
Springer
13 years 7 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...
ISNN
2010
Springer
13 years 4 months ago
2010
Springer
Abstract. A forecasting approach based on Multi-Layer Perceptron (MLP) Artificial Neural Networks (named by the authors MULP) is proposed for the NN5 111 time series long-term, out...
GECCO
2005
Springer
13 years 11 months ago
2005
Springer
This paper presents a new method — the Time-delay Added Evolutionary Forecasting (TAEF) method — for time series prediction which performs an evolutionary search of the minimu...
ICANN
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. Local air quality forecasting can be made on the basis of meteorological and air pollution time series. Such data contain redundant information. Partial mutual informatio...
FLAIRS
2004
13 years 7 months ago
2004
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...