An algorithm for solving the problem of forecasting
DOI: https://doi.org/10.3846/16487788.2013.777219Abstract
In this article, the main forecasting methods are considered. A new algorithm based on the group method of data handling and artificial neural networks is presented. The algorithm was tested on real data and showed better results than neural networks. This shows its suitability for further use in forecasting aviation tasks.
First published online: 28 Mar 2013
Keywords:
artificial neural network, forecasting method, algorithm, mean square prediction error, group method of data handling, training setHow to Cite
Sineglazov, V., Chumachenko, E., & Gorbatyuk, V. (2013). An algorithm for solving the problem of forecasting. Aviation, 17(1), 9-13. https://doi.org/10.3846/16487788.2013.777219
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Copyright (c) 2013 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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Published
2013-03-28
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Articles
Copyright
Copyright (c) 2013 The Author(s). Published by Vilnius Gediminas Technical University.
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Sineglazov, V., Chumachenko, E., & Gorbatyuk, V. (2013). An algorithm for solving the problem of forecasting. Aviation, 17(1), 9-13. https://doi.org/10.3846/16487788.2013.777219