Viability of Using Ann-BP on a Handheld Device

Author

Weng, Leong Yeng ; Omar, Jamaludin Bin ; Siah, Yap Keem ; Abidin, Izham Bin Zainal ; Ahmed, Syed Khaleel

Author_Institution

Coll. of Eng., Univ. Tenaga Nasional, Kajang, Malaysia

fYear

2010

fDate

22-23 June 2010

Firstpage

149

Lastpage

151

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.

Keywords

backpropagation; mobile handsets; neural nets; notebook computers; Ann-BP viability; artificial neural network back propagation; handheld device; Accuracy; Artificial intelligence; Artificial neural networks; Handheld computers; Logic gates; Neurons; Smart homes; ANN-BP; Handheld device; artificial intelligence; artificial neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computing and Cognitive Informatics (ICICCI), 2010 International Conference on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4244-6640-5

Electronic_ISBN

978-1-4244-6641-2

Type

conf

DOI

10.1109/ICICCI.2010.82

Filename

5566012