Viability of using ANN-BP on a handheld device

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

doi:10.1109/ICICCI.2010.82

Viability of using ANN-BP on a handheld device

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	2010 International Conference on Intelligent Computing and Cognitive Informatics, ICICCI 2010
Pages	149-151
Number of pages	3
DOIs	https://doi.org/10.1109/ICICCI.2010.82
Publication status	Published - 29 Oct 2010
Event	2010 International Conference on Intelligent Computing and Cognitive Informatics, ICICCI 2010 - Kuala Lumpur, Malaysia Duration: 22 Jun 2010 → 23 Jun 2010

Other

Other	2010 International Conference on Intelligent Computing and Cognitive Informatics, ICICCI 2010
Country	Malaysia
City	Kuala Lumpur
Period	22/06/10 → 23/06/10

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All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computational Theory and Mathematics
Information Systems

Cite this

Leong, Y. W., Omar, J., Yap, K. S., Zainal Abidin, I., & Khaleel Ahmed, S. (2010). Viability of using ANN-BP on a handheld device. In 2010 International Conference on Intelligent Computing and Cognitive Informatics, ICICCI 2010 (pp. 149-151). [5566012] https://doi.org/10.1109/ICICCI.2010.82

@inproceedings{21194405ff20491eb9fb77d21849e02a,

title = "Viability of using ANN-BP on a handheld device",

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.",

author = "Leong, {Yeng Weng} and Jamaludin Omar and Yap, {Keem Siah} and {Zainal Abidin}, Izham and {Khaleel Ahmed}, Syed",

year = "2010",

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doi = "10.1109/ICICCI.2010.82",

language = "English",

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pages = "149--151",

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note = "2010 International Conference on Intelligent Computing and Cognitive Informatics, ICICCI 2010 ; Conference date: 22-06-2010 Through 23-06-2010",

}

Leong, YW , Omar, J , Yap, KS , Zainal Abidin, I & Khaleel Ahmed, S 2010, Viability of using ANN-BP on a handheld device. in 2010 International Conference on Intelligent Computing and Cognitive Informatics, ICICCI 2010., 5566012, pp. 149-151, 2010 International Conference on Intelligent Computing and Cognitive Informatics, ICICCI 2010, Kuala Lumpur, Malaysia, 22/06/10. https://doi.org/10.1109/ICICCI.2010.82

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AU - Leong, Yeng Weng

AU - Omar, Jamaludin

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AU - Zainal Abidin, Izham

AU - Khaleel Ahmed, Syed

PY - 2010/10/29

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N2 - 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.

AB - 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.

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Access to Document

10.1109/ICICCI.2010.82