Work

XGB Model : Research on Evaporation Duct Height Prediction Based on XGBoost Algorithm

Year: 2020

Type: article

Abstract: Evaporation duct is a specific atmospheric structure at sea, which has an important influence on the propagation path of electromagnetic waves (EW).Considering the limit of existing evaporation duct height (EDH) prediction models and aiming at proposing more accurate and stronger generalization ability of EDH models, we applied eXtreme Gradient Boosting (XGBoosting) algorithm to the field of evaporation duct for the first time.And we proposed the new EDH prediction model using XGBoost algorithm (XGB model).Simultaneously, traditional Paulus-Jeske (PJ) model and deep learning Multilayer Perceptron (MLP) model were introduced into the experiment to make a comparison.In terms of comprehensive performance, XGB model is optimal in all sub-regions and total area.Finally, cross-learning experiments were carried out to test the generalization ability of XGB model.The results show that the generalization ability of XGB model is better than that of MLP model.

Source: Radioengineering

DOI: 10.13164/re.2020.0081

Authors: W. P. Zhao, J. Li, J. Zhao, D. Zhao, J. Lu, X. Wang

Institutions: National University of Defense Technology, Chinese Academy of Sciences, Institute of Atmospheric Physics, State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry

Language: English

Topic: Radio Wave Propagation Studies

Subfield: Atmospheric Science

Field: Earth and Planetary Sciences

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $431

Funders: National Natural Science Foundation of China, National Key Research and Development Program of China