Using a mixture of experts’ approach to solve the forecasting task

Using a mixture of experts’ approach to solve the forecasting task

The forecasting problem appears frequently in the aviation industry (demand forecasting, air transport movement forecasting, etc.). In this article, a new approach based on multiple neural networks of different topologies is introduced. An algorithm was tested on real data and showed better results...

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Bibliographic Details
Main Authors: Victor Sineglazov, Elena Chumachenko, Vladyslav Gorbatyuk
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2014-10-01
Series:Aviation
Subjects:
artificial neural network
forecasting method
mixture of experts
mean square prediction error
group method of data handling
training set
Online Access:http://journals.vgtu.lt/index.php/Aviation/article/view/2939
Description
Summary:The forecasting problem appears frequently in the aviation industry (demand forecasting, air transport movement forecasting, etc.). In this article, a new approach based on multiple neural networks of different topologies is introduced. An algorithm was tested on real data and showed better results compared to several other methods. This shows its suitability for further usage in aviation forecasting tasks.
ISSN:1648-7788
1822-4180

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