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...

Full description

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
Tags:	Add Tag No Tags, Be the first to tag this record!