67 search results - page 4 / 14 » Time Series Prediction by Chaotic Modeling of Nonlinear Dyna... |
ICANN
2009
Springer
13 years 11 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...
ESANN
2003
13 years 7 months ago
2003
The paper presents a method for times series prediction using a local dynamic modeling based on a three step process. In the first step the input data is embedded in a reconstruct...
ICIC
2005
Springer
14 years 3 hour ago
2005
Springer
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...
IJCNN
2007
IEEE
14 years 24 days ago
2007
IEEE
— Rapidly evolving businesses generate massive amounts of time-stamped data sequences and defy a demand for massively multivariate time series analysis. For such data the predict...
ICNC
2005
Springer
14 years 2 hour ago
2005
Springer
: Traffic behavior in a large-scale network can be viewed as a complicated non-linear system, so it is very difficult to describe the long-term network traffic behavior in a large-...