14 search results - page 1 / 3 » Prediction of dynamic forces on lumbar joint using a recurre... |
ICMLA
2004
13 years 8 months ago
2004
NN
2000
Springer
13 years 6 months ago
2000
Springer
A method for the development of empirical predictive models for complex processes is presented. The models are capable of performing accurate multi-step-ahead (MS) predictions, wh...
NN
2007
Springer
13 years 6 months ago
2007
Springer
The temporal evolution of nearshore sandbars (alongshore ridges of sand fringing coasts in water depths less than 10 m and of paramount importance for coastal safety) is commonly ...
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...
NPL
2011
12 years 9 months ago
2011
The accuracy of a model to forecast a time series diminishes as the prediction horizon increases, in particular when the prediction is carried out recursively. Such decay is faster...