Publication:
Lightning forecasting using ANN-BP & radiosonde

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dc.citedby10
dc.contributor.authorWeng L.Y.en_US
dc.contributor.authorOmar J.B.en_US
dc.contributor.authorSiah Y.K.en_US
dc.contributor.authorAhmed S.K.en_US
dc.contributor.authorAbidin I.B.Z.en_US
dc.contributor.authorAbdullah N.en_US
dc.contributor.authorid26326032700en_US
dc.contributor.authorid24463418200en_US
dc.contributor.authorid24448864400en_US
dc.contributor.authorid25926812900en_US
dc.contributor.authorid35606640500en_US
dc.contributor.authorid26422769600en_US
dc.date.accessioned2023-12-29T07:49:53Z
dc.date.available2023-12-29T07:49:53Z
dc.date.issued2010
dc.description.abstractThis 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.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo5566013
dc.identifier.doi10.1109/ICICCI.2010.83
dc.identifier.epage155
dc.identifier.scopus2-s2.0-77958489349
dc.identifier.spage152
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-77958489349&doi=10.1109%2fICICCI.2010.83&partnerID=40&md5=eda7fdca81ad6d51264bc41634c740d9
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30588
dc.pagecount3
dc.sourceScopus
dc.sourcetitleProceedings - 2010 International Conference on Intelligent Computing and Cognitive Informatics, ICICCI 2010
dc.subjectArtificial intelligence
dc.subjectLightning forecasting
dc.subjectLightning prediction
dc.subjectNeural networks
dc.subjectData processing
dc.subjectForecasting
dc.subjectInformation science
dc.subjectIntelligent computing
dc.subjectNeural networks
dc.subjectRadiosondes
dc.subjectData sets
dc.subjectKuala lumpur international airports
dc.subjectLightning
dc.titleLightning forecasting using ANN-BP & radiosondeen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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