15 search results - page 2 / 3 » Training wavelet networks for nonlinear dynamic input-output... |
NN
2011
Springer
12 years 8 months ago
2011
Springer
Neurodynamical models of working memory (WM) should provide mechanisms for storing, maintaining, retrieving, and deleting information. Many models address only a subset of these a...
ENGL
2008
13 years 5 months ago
2008
The objective herein is to demonstrate the feasibility of a real-time digital control of an inverted pendulum for modeling and control, with emphasis on nonlinear auto regressive m...
ICAS
2006
IEEE
13 years 11 months ago
2006
IEEE
— We target the problem of predicting resource usage in situations where the modeling data is scarce, non-stationary, or expensive to obtain. This scenario occurs frequently in c...
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
—A generic approach that allows extracting functional nonlinear dependencies and mappings between atmospheric or ocean state variables in a relatively simple form is presented. T...
NN
2007
Springer
13 years 5 months ago
2007
Springer
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...