77 search results - page 3 / 16 » Time Series Forecasting by Evolving Artificial Neural Networ... |
ICANN
2010
Springer
13 years 6 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...
AUSAI
2004
Springer
13 years 11 months ago
2004
Springer
We present here an original work that uses machine learning techniques to combine time series forecasts. In this proposal, a machine learning technique uses features of the series ...
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...
IJCNN
2007
IEEE
14 years 3 days ago
2007
IEEE
— Forecasting the tide level in the Venezia lagoon is a very compelling task. In this work we propose a new approach to the learning of tide level time series based on the local ...
GECCO
2008
Springer
13 years 6 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...