134 search results - page 2 / 27 » An Evolutionary Approach for Tuning Artificial Neural Networ... |
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
In this work an improvement of an initial approach to design Artificial Neural Networks to forecast Time Series is tackled, and the automatic process to design Artificial Neural N...
EOR
2006
13 years 7 months ago
2006
Artificial neural networks (ANN) have been widely used for both classification and prediction. This paper is focused on the prediction problem in which an unknown function is appr...
APIN
2005
13 years 7 months ago
2005
Credit analysts generally assess the risk of credit applications based on their previous experience. They frequently employ quantitative methods to this end. Among the methods used...
EVOW
2008
Springer
13 years 9 months ago
2008
Springer
The design of computer architectures requires the setting of multiple parameters on which the final performance depends. The number of possible combinations make an extremely huge ...
CEC
2005
IEEE
14 years 29 days ago
2005
IEEE
Abstract- Choosing the best parameter setting is a wellknown important and challenging task in Evolutionary Algorithms (EAs). As one of the earliest parameter tuning techniques, th...