AbstractAn artificial neural forecasting model is developed for air transport passenger analysis. It uses a preprocessing method that decomposes information to reveal relevant features from the data. It is found that neural processing outperforms the traditional econometric approach and offers generalization on time series behavior, even where there are only small samples.
A multivariate neural forecasting modeling for air transport – Preprocessed by decomposition: A Brazilian application
Journal of Air Transport Management ; 15 , 5 ; 212-216
2008-01-01
5 pages
Article (Journal)
Electronic Resource
English
Matching Deformable Atlas Models to Preprocessed Magnetic Resonance Brain Images
British Library Conference Proceedings | 1994
|Digital-Preprocessed Analog-Multiplexed DAC for Ultrawideband Multilevel Transmitter (Post-Deadline)
British Library Online Contents | 2016
|BASE | 2023
|