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20 October 2022 Identification of climb/descent mode based on DE-RFE-RF
Jiaxue Liu, Nannan Shi, Jingjie Chen
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Proceedings Volume 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022); 124511J (2022) https://doi.org/10.1117/12.2656503
Event: 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 2022, Chongqing, China
Abstract
The ICAO document clearly states the need for a fuel-saving effectiveness review and evaluation of the continuous and step-by-step flight modes of the climb and descent phases. In order to identify the flight mode efficiently, a flight mode recognition method based on DE-RFE-RF is proposed according to the movement characteristics and flight characteristics of the vertical section of the track. Firstly, the random forest recursive feature elimination (RFE-RF) algorithm was used to search for optimal feature combination packages and classifier training simultaneously. Then, differential evolution (DE) algorithm was used to automatically optimize RFE-RF parameter settings. The method guarantees both the accuracy of feature combination selection and recognition results. Experimental results showed that the method can realize the automatic recognition of climbing/descending mode.
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Jiaxue Liu, Nannan Shi, and Jingjie Chen "Identification of climb/descent mode based on DE-RFE-RF", Proc. SPIE 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 124511J (20 October 2022); https://doi.org/10.1117/12.2656503
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KEYWORDS
Genetic algorithms
Mathematical modeling
Optimization (mathematics)
Evolutionary algorithms
Feature selection
Pattern recognition
Process modeling
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