251 search results - page 20 / 51 » LS-SVM functional network for time series prediction |
NN
2006
Springer
13 years 8 months ago
2006
Springer
The paper presents machine learning (ML) models that predict sedimentation in the harbour basin of the Port of Rotterdam. The important factors affecting the sedimentation process...
CIDM
2007
IEEE
14 years 3 months ago
2007
IEEE
— There are several types of processes which can be modeled explicitly by recording the interactions between a set of actors over time. In such applications, a common objective i...
MICCAI
2009
Springer
14 years 9 months ago
2009
Springer
In functional Magnetic Resonance Imaging (fMRI) data analysis, normalization of time series is an important and sometimes necessary preprocessing step in many widely used methods. ...
ICANN
2010
Springer
13 years 9 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...
ESANN
2003
13 years 10 months ago
2003
In this paper fully connected RTRL neural networks are studied. In order to learn dynamical behaviours of linear-processes or to predict time series, an autonomous learning algori...