67 search results - page 6 / 14 » Time Series Prediction by Chaotic Modeling of Nonlinear Dyna... |
NIPS
2000
13 years 8 months ago
2000
Experimental data show that biological synapses behave quite differently from the symbolic synapses in common artificial neural network models. Biological synapses are dynamic, i....
TFS
2008
13 years 6 months ago
2008
Abstract--In this paper, we introduce a novel approach to timeseries prediction realized both at the linguistic and numerical level. It exploits fuzzy cognitive maps (FCMs) along w...
BMCBI
2007
13 years 6 months ago
2007
Background: Modelling of time series data should not be an approximation of input data profiles, but rather be able to detect and evaluate dynamical changes in the time series dat...
ICANN
2001
Springer
13 years 11 months ago
2001
Springer
Abstract. An application of the recently proposed generalized relevance learning vector quantization (GRLVQ) to the analysis and modeling of time series data is presented. We use G...
CDC
2010
IEEE
13 years 1 months ago
2010
IEEE
This paper presents a data-centric modeling and predictive control approach for nonlinear hybrid systems. System identification of hybrid systems represents a challenging problem b...