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Viability of using ANN-BP on a handheld device

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dc.citedby0
dc.contributor.authorWeng L.Y.en_US
dc.contributor.authorOmar J.B.en_US
dc.contributor.authorSiah Y.K.en_US
dc.contributor.authorAbidin I.B.Z.en_US
dc.contributor.authorAhmed S.K.en_US
dc.contributor.authorid26326032700en_US
dc.contributor.authorid24463418200en_US
dc.contributor.authorid24448864400en_US
dc.contributor.authorid35606640500en_US
dc.contributor.authorid25926812900en_US
dc.date.accessioned2023-12-29T07:49:38Z
dc.date.available2023-12-29T07:49:38Z
dc.date.issued2010
dc.description.abstractThis paper discusses the feasibility of operating an artificial neural network - back propagation (ANN-BP) in a handheld device. Comparisons were done between operating an ANN-BP on a desktop versus a handheld device in duration of time and accuracy. It was found that by implementing an ANN-BP on a handheld device, the speed was slower as compared to running on a desktop. The accuracy of results did not differ much based on the device the ANN-BP was executed upon. As a conclusion, the viability of using a handheld device to run ANN-BP is not practical with current processor speeds as the processing time is approximately 300 times longer than that of a desktop. � 2010 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo5566012
dc.identifier.doi10.1109/ICICCI.2010.82
dc.identifier.epage151
dc.identifier.scopus2-s2.0-77958502587
dc.identifier.spage149
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-77958502587&doi=10.1109%2fICICCI.2010.82&partnerID=40&md5=4f3a2d1f0011132d71fdb3acd3737730
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30573
dc.pagecount2
dc.sourceScopus
dc.sourcetitleProceedings - 2010 International Conference on Intelligent Computing and Cognitive Informatics, ICICCI 2010
dc.subjectANN-BP
dc.subjectArtificial intelligence
dc.subjectArtificial neural networks
dc.subjectHandheld device
dc.subjectBackpropagation
dc.subjectHand held computers
dc.subjectInformation science
dc.subjectIntelligent computing
dc.subjectANN-BP
dc.subjectArtificial Neural Network
dc.subjectCurrent processors
dc.subjectHand held device
dc.subjectProcessing Time
dc.subjectNeural networks
dc.titleViability of using ANN-BP on a handheld deviceen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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