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Viability of using ANN-BP on a handheld device

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...

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Bibliographic Details
Main Authors: Weng L.Y., Omar J.B., Siah Y.K., Abidin I.B.Z., Ahmed S.K.
Other Authors: 26326032700
Format: Conference paper
Published: 2023
Subjects:
ANN-BP
Artificial intelligence
Artificial neural networks
Handheld device
Backpropagation
Hand held computers
Information science
Intelligent computing
Artificial Neural Network
Current processors
Hand held device
Processing Time
Neural networks
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Summary: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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