Lightning severity classification utilizing the meteorological parameters: a neural network approach

Lightning severity classification utilizing the meteorological parameters: a neural network approach

This paper presents a technique of predicting lightning severity on daily basis by using meteorological data. The data used is supplied by Global Lightning Network (GLN) from WSI Corporation. The input of the system consists of seven meteorology parameters which had been provided by Malaysia Meteoro...

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Bibliographic Details
Main Authors: Omar, Muhammad Azhar, Hassan, Mohd Khair, Che Soh, Azura, Ab Kadir, Mohd Zainal Abidin
Format: Conference or Workshop Item
Language:English
Published: IEEE 2013
Online Access:http://psasir.upm.edu.my/id/eprint/68852/
http://psasir.upm.edu.my/id/eprint/68852/1/Lightning%20severity%20classification%20utilizing%20the%20meteorological%20parameters%20a%20neural%20network%20approach.pdf

Internet

http://psasir.upm.edu.my/id/eprint/68852/
http://psasir.upm.edu.my/id/eprint/68852/1/Lightning%20severity%20classification%20utilizing%20the%20meteorological%20parameters%20a%20neural%20network%20approach.pdf

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