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 | |
| 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
}
Viability of using ANN-BP on a handheld device. / Leong, Yeng Weng; Omar, Jamaludin; Yap, Keem Siah; Zainal Abidin, Izham; Khaleel Ahmed, Syed.
2010 International Conference on Intelligent Computing and Cognitive Informatics, ICICCI 2010. 2010. p. 149-151 5566012.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Viability of using ANN-BP on a handheld device
AU - Leong, Yeng Weng
AU - Omar, Jamaludin
AU - Yap, Keem Siah
AU - Zainal Abidin, Izham
AU - Khaleel Ahmed, Syed
PY - 2010/10/29
Y1 - 2010/10/29
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.
UR - http://www.scopus.com/inward/record.url?scp=77958502587&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77958502587&partnerID=8YFLogxK
U2 - 10.1109/ICICCI.2010.82
DO - 10.1109/ICICCI.2010.82
M3 - Conference contribution
SN - 9780769540146
SP - 149
EP - 151
BT - 2010 International Conference on Intelligent Computing and Cognitive Informatics, ICICCI 2010
ER -