صورة الغلاف

Lightning forecasting using ANN-BP & radiosonde

This paper presents a concept of predicting lightning with the data from radiosonde and a more reliable dataset of lightning occurances from Tenaga Nasionl Berhad Research Sdn Berhad (TNBR). The location of interest in this research is Kuala Lumpur International Airport (KLIA). The engine used for p...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Weng L.Y., Omar J.B., Siah Y.K., Ahmed S.K., Abidin I.B.Z., Abdullah N.
مؤلفون آخرون: 26326032700
التنسيق: Conference paper
منشور في: 2023
الموضوعات:
Artificial intelligence
Lightning forecasting
Lightning prediction
Neural networks
Data processing
Forecasting
Information science
Intelligent computing
Radiosondes
Data sets
Kuala lumpur international airports
Lightning
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الوصف
الملخص:This paper presents a concept of predicting lightning with the data from radiosonde and a more reliable dataset of lightning occurances from Tenaga Nasionl Berhad Research Sdn Berhad (TNBR). The location of interest in this research is Kuala Lumpur International Airport (KLIA). The engine used for prediction is of a Neural Network Back Propogation type (ANN-BP). The initial results show that the combination of datasets and engine are workable, however the prediction results seem to be more biased towards lightning days as compared to non-lightning days. � 2010 IEEE.

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