USING A MIXTURE OF EXPERTS' APPROACH TO SOLVE THE FORECASTING TASK

被引：1

作者：

Sineglazov, Victor ^{[1
,2
]}

Chumachenko, Elena ^{[1
,3
]}

Gorbatyuk, Vladyslav ^{[1
,4
]}

机构：

[1] Tech Univ Ukraine KPI, 03056 Peremogy Ave 37, Kiev, Ukraine

[2] Natl Aviat Univ, Inst Elect & Control Syst, Kiev, Ukraine

[3] Natl Tech Univ Ukraine KPI, Dept Tech Cybernet, Kiev, Ukraine

[4] Natl Tech Univ Ukraine KPI, Kiev, Ukraine

来源：

AVIATION | 2014年 / 18卷 / 03期

关键词：

artificial neural network; forecasting method; mixture of experts; mean square prediction error; group method of data handling; training set;

D O I：

10.3846/16487788.2014.969883

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

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.

引用

页码：129 / 133

页数：5

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