DocumentCode :
1972417
Title :
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
Link To Document :
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