Viability of using ANN-BP on a handheld device

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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 languageEnglish
Title of host publication2010 International Conference on Intelligent Computing and Cognitive Informatics, ICICCI 2010
Pages149-151
Number of pages3
DOIs
Publication statusPublished - 29 Oct 2010
Event2010 International Conference on Intelligent Computing and Cognitive Informatics, ICICCI 2010 - Kuala Lumpur, Malaysia
Duration: 22 Jun 201023 Jun 2010

Other

Other2010 International Conference on Intelligent Computing and Cognitive Informatics, ICICCI 2010
CountryMalaysia
CityKuala Lumpur
Period22/06/1023/06/10

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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