An Artificial Neural Network for Lightning Prediction Based on Atmospheric Electric Field Observations

An Artificial Neural Network for Lightning Prediction Based on Atmospheric Electric Field Observations

Measuring the atmospheric electric field is of crucial importance for studying the discharge phenomena of thunderstorm clouds. If one is used to indicate the occurrence of a lightning event and zero to indicate the non-occurrence of the event, then a binary classification problem needs to be solved....

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Bibliographic Details
Main Authors: Riyang Bao, Yaping Zhang, Benedict J. Ma, Zhuoyu Zhang, Zhenghao He
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Remote Sensing
Subjects:
electric field measurement
feature extraction
transfer learning
multilayer perceptron
lightning warning
Online Access:https://www.mdpi.com/2072-4292/14/17/4131

Internet

https://www.mdpi.com/2072-4292/14/17/4131

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