60 search results - page 5 / 12 » Nonlinear Time-Series Prediction with Missing and Noisy Data |
ICDM
2010
IEEE
13 years 7 months ago
2010
IEEE
Temporal causal modeling has been a highly active research area in the last few decades. Temporal or time series data arises in a wide array of application domains ranging from med...
ICANN
2009
Springer
14 years 1 months ago
2009
Springer
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
ICCS
2001
Springer
14 years 1 months ago
2001
Springer
Abstract. Rainfall in Kerala State, the southern part of Indian Peninsula in particular is caused by the two monsoons and the two cyclones every year. In general, climate and rainf...
FSS
2006
13 years 9 months ago
2006
In this paper, a Sequential Adaptive Fuzzy Inference System called SAFIS is developed based on the functional equivalence between a radial basis function network and a fuzzy infer...
NN
2006
Springer
13 years 9 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...