Viability of using ANN-BP on a handheld device

• 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

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.