Correlation analysis of runway icing parameters and improved PSO-LSSVM icing prediction
Abstract
The runway icing prediction is an important guarantee for the safe and efficient operation of the airport in winter. Aiming at the complex problem of airport runway icing with many factors, the grey correlation analysis method is used to study the sensitivity of runway icing to multiple parameters, and the main influencing factors of ice thickness are obtained. The kernel function and penalty function of the least squares support vector machine...
Paper Details
Title
Correlation analysis of runway icing parameters and improved PSO-LSSVM icing prediction
Published Date
Jan 1, 2022
Volume
193
Pages
103415 - 103415
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