Please use this identifier to cite or link to this item: http://dspace.uniten.edu.my/jspui/handle/123456789/5039
Title: Lightning prediction using radiosonde data
Authors: Weng, L.Y. 
Omar, J.B. 
Siah, Y.K. 
Abidin, I.B.Z. 
Ahmad, S.K. 
Issue Date: 2008
Journal: Proceedings - 2010 International Conference on Intelligent Computing and Cognitive Informatics, ICICCI 2010 2010, Article number 5566013, Pages 152-155 
Abstract: This paper presents a concept of predicting lightning with the data from radiosonde using only a simple back propagation neural network model written in C code. The location of interest in this research is Kuala Lumpur International Airport (KLIA). In this model, the parameters related to wind were disregarded. Preliminary results indicate that this method shows some positive results. Future work should include wind parameters to fully capture all properties for lightning formation, subsequently its prediction.
DOI: 10.1109/ICICCI.2010.83
Appears in Collections:COE Scholarly Publication

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