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|Title:||Viability of using ANN-BP on a handheld device||Authors:||Weng, L.Y.
|Issue Date:||2010||Abstract:||This 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.||URI:||http://dspace.uniten.edu.my/jspui/handle/123456789/11412|
|Appears in Collections:||COE Scholarly Publication|
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