An energy consumption model of mobile terminal software based on BP neural network
- 10.2991/peee-15.2015.69How to use a DOI?
- Mobile commerce, Software energy, BP neural network, Mobile terminal.
The energy consumption of software plays an important role in mobile application. Firstly, on the point of measurement, the characteristics of mobile terminal software are studied, and the functional relation between software energy and software characteristic is modeled as a nonlinear function. Secondly, based on BP neural network, an energy consumption model of mobile software is built. After the analysis of software characteristics in system architecture, the training and study mechanism of BP neural network in energy consumption measures is illustrated here. Lastly, BP training to fit the functional relation between software architecture and energy consumption is verified by experimental results.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - L.W. Liu AU - T.F. Zhan AU - Z.Y. Cai PY - 2015/04 DA - 2015/04 TI - An energy consumption model of mobile terminal software based on BP neural network BT - Proceedings of the 2015 International Conference on Power Electronics and Energy Engineering PB - Atlantis Press SP - 252 EP - 254 SN - 2352-5401 UR - https://doi.org/10.2991/peee-15.2015.69 DO - 10.2991/peee-15.2015.69 ID - Liu2015/04 ER -