Research on Reconstruction Method for Illumination Field based on CMAC Neural Network

DOI

10.2991/csic-15.2015.13How to use a DOI?

Keywords

Illumination, Illumination field, CMAC neural network, Reconstruction

Abstract

In intelligent building applications, the awareness of built environment illumination filed representatively applies in intelligent lighting systems for providing decision and support. In fact, the dynamic analysis of the built environment can assist in the illumination field of security systems at the same time can also work as a new means of achieving safety precautions. In this paper, a simple interest in the built environment based on discrete data at the point of illumination perception of the built environment illumination field reconstruction method is proposed based on the fast reconstruction method CMAC neural network architecture space illumination field. Experimental results show that with the use of a typical area of interpolation, polynomial interpolation, inverse distance weighting interpolation method reconstructed building space illumination field compared to the use of constructed building space reconstruction method based on CMAC illumination field of architectural space illumination field high precision.

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  - Qiansheng Fang
AU  - Jun Huang
AU  - Zhenya Zhang
PY  - 2015/07
DA  - 2015/07
TI  - Research on Reconstruction Method for Illumination Field based on CMAC Neural Network
BT  - Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication
PB  - Atlantis Press
SP  - 52
EP  - 55
SN  - 2352-538X
UR  - https://doi.org/10.2991/csic-15.2015.13
DO  - 10.2991/csic-15.2015.13
ID  - Fang2015/07
ER  -