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Title: Viability of using ANN-BP on a handheld device
Authors: Weng, L.Y. 
Omar, J.B. 
Siah, Y.K. 
Abidin, I.B.Z. 
Ahmed, S.K. 
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.
Appears in Collections:COE Scholarly Publication

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