Using a mixture of experts’ approach to solve the forecasting task
Abstract
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.
First published online: 02 Oct 2014
Keywords:
artificial neural network, forecasting method, mixture of experts, mean square prediction error, group method of data handling, training setHow to Cite
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Copyright (c) 2014 The Author(s). Published by Vilnius Gediminas Technical University.
This work is licensed under a Creative Commons Attribution 4.0 International License.
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Copyright
Copyright (c) 2014 The Author(s). Published by Vilnius Gediminas Technical University.
License
This work is licensed under a Creative Commons Attribution 4.0 International License.