MATEC Web Conf.
Volume 282, 20194th Central European Symposium on Building Physics (CESBP 2019)
|Number of page(s)||6|
|Published online||06 September 2019|
Application of neural networks to lighting systems
1 Cracow University of Technology, Faculty of Electrical and Computer Engineering, Institute of Electrical Engineering and Computer Science
2 Cracow University of Technology, Faculty of Civil Engineering, Małopolska Laboratory of Energy Efficient Building (MLBE)
3 AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering
* Corresponding author: email@example.com
This paper will continue application of neural networks to the concept of environmental quality management technology described elsewhere. Human preferences are different and may vary depending on type of the work or psycho-physical conditions of workers. This paper deals with application of artificial neural networks (ANNs) to control of general lighting systems to provide personal (individual) illuminance on worktables. Two-layer feedforward ANN is used to identify and model the system. Introduction of ANN to model illumination systems opens a new possibility of individual control systems in which specific areas have different set of requirements than remaining areas of a lighting system.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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