30 search results - page 2 / 6 » Forecasting Time Series with a New Architecture for Polynomi... |
SBRN
2008
IEEE
13 years 12 months ago
2008
IEEE
In this work, we propose to use the Zoomed-Ranking approach to ranking and selecting Artificial Neural Network (ANN) models for time series forecasting. Given a time series to fo...
IJCSA
2006
13 years 5 months ago
2006
Artificial Neural Networks are universal and highly flexible function approximators first used in the fields of cognitive science and engineering. In recent years, Neural Networks...
IJCNN
2007
IEEE
13 years 12 months ago
2007
IEEE
— Forecasting the tide level in the Venezia lagoon is a very compelling task. In this work we propose a new approach to the learning of tide level time series based on the local ...
NPL
2011
12 years 8 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...
GECCO
2009
Springer
14 years 2 days ago
2009
Springer
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...