Lightning forecasting using ANN-BP & radiosonde

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2010 International Conference on Intelligent Computing and Cognitive Informatics, ICICCI 2010
Pages152-155
Number of pages4
DOIs
Publication statusPublished - 2010
Event2010 International Conference on Intelligent Computing and Cognitive Informatics, ICICCI 2010 - Kuala Lumpur, Malaysia
Duration: 22 Jun 201023 Jun 2010

Other

Other2010 International Conference on Intelligent Computing and Cognitive Informatics, ICICCI 2010
CountryMalaysia
CityKuala Lumpur
Period22/06/1023/06/10

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Information Systems

Cite this

Leong, Y. W., Omar, J., Yap, K. S., Khaleel Ahmed, S., Zainal Abidin, I., & Abdullah, N. (2010). Lightning forecasting using ANN-BP & radiosonde. In 2010 International Conference on Intelligent Computing and Cognitive Informatics, ICICCI 2010 (pp. 152-155). [5566013] https://doi.org/10.1109/ICICCI.2010.83