Publication: Viability of using ANN-BP on a handheld device
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Date
2010
Authors
Weng L.Y.
Omar J.B.
Siah Y.K.
Abidin I.B.Z.
Ahmed S.K.
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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.
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Keywords
ANN-BP , Artificial intelligence , Artificial neural networks , Handheld device , Backpropagation , Hand held computers , Information science , Intelligent computing , ANN-BP , Artificial Neural Network , Current processors , Hand held device , Processing Time , Neural networks