@inproceedings{77524e6771fe45de82a3613d89a6ed0a,
title = "Estimating path loss of electromagnetic wave propagation based on deep neural network in evaporation duct",
abstract = "The propagation of electromagnetic waves in evaporation duct follows Maxwell's law. Theoretically, the electromagnetic wave propagation process can be solved in case of knowing electromagnetic wave source characteristics, propagation medium characteristics and boundary conditions. However, the calculation of evaporation duct profiles and Maxwell's equations is complex and slow. In most cases, it can only be solved by using numerical methods. A simple, fast and approximately accurate scheme of path loss calculation is needed to overcome this difficulty. Therefore, deep neural network is used to estimate the path loss of electromagnetic wave propagation in evaporation duct in this paper.",
keywords = "deep learning, evaporation duct, path loss, PE model",
author = "Fan Yang and Jia Han and Kunde Yang and Shuwen Wang and Chunlong Huang",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 Global Oceans: Singapore - U.S. Gulf Coast, OCEANS 2020 ; Conference date: 05-10-2020 Through 30-10-2020",
year = "2020",
month = oct,
day = "5",
doi = "10.1109/IEEECONF38699.2020.9389042",
language = "英语",
series = "2020 Global Oceans 2020: Singapore - U.S. Gulf Coast",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 Global Oceans 2020",
}