22 search results - page 1 / 5 » A hybrid method for tuning neural network for time series fo... |
GECCO
2008
Springer
13 years 5 months ago
2008
Springer
This paper presents an study about a new Hybrid method GRASPES - for time series prediction, inspired in F. Takens theorem and based on a multi-start metaheuristic for combinatori...
GECCO
2005
Springer
13 years 9 months ago
2005
Springer
This paper presents a new method — the Time-delay Added Evolutionary Forecasting (TAEF) method — for time series prediction which performs an evolutionary search of the minimu...
ICANN
2010
Springer
13 years 2 months ago
2010
Springer
Accurate time series forecasting are important for several business, research, and application of engineering systems. Evolutionary Neural Networks are particularly appealing becau...
IJCNN
2007
IEEE
13 years 10 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 ...
GECCO
2009
Springer
13 years 11 months 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...