Holdings: Lightning prediction using radiosonde data

Lightning prediction using radiosonde data

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...

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Bibliographic Details
Main Authors:	Weng L.Y., Omar J.B., Siah Y.K., Abidin I.B.Z., Ahmad S.K.
Other Authors:	26326032700
Format:	Conference paper
Published:	2023
Subjects:	Artificial intelligence Lightning forecasting Lightning prediction Neural networks Electric load forecasting Lightning Radiosondes Back propagation neural networks C codes Kuala lumpur international airports Radiosonde datum Wind parameters
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Lightning prediction using radiosonde data

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