An energy consumption model of mobile terminal software based on BP neural network

DOI

10.2991/peee-15.2015.69How to use a DOI?

Keywords

Mobile commerce, Software energy, BP neural network, Mobile terminal.

Abstract

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.

Copyright

© 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/).

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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  -