AbstractThe optimization of classroom illumination system based on neural network algorithm was studied in order to optimize the classroom illumination system, which can effectively relieve the students С visual fatigue and promote the learning efficiency. The neural network algorithm was used. First of all, on the basis of objective evaluation of classroom illumination system, the design algorithm of university illumination based on neural network was designed creatively. Secondly, the lower-machine program of intelligent Illumination system in university was designed, and the algorithm and model of the design at last were tested. Finally, the design algorithm and the model were tested. The results show that the design can play a good role in optimizing the classroom illumination system.
References1. Chen J F., Hsieh H N., Do Q H. Evaluating teaching performance based on fuzzy AHP and comprehensive evaluation approach. Applied Soft Computing, 2015. V28, pp.100Ц108. 2. Zhang H., Sun X. Research on low carbon supply chain performance evaluation based on AHP and fuzzy comprehensive evaluation method. Journal of Shandong University of Technology (Natural Science Edition), 2016. V1, p.16. 3. Zhaoben F., Peijie Y., Ganlin P. Empirical research on credit risk management for electric power clients. Automation of Electric Power Systems, 2005. V1, p. 17. 4. Li X., Yang S., Zhang H. Research on assessment method for power supply service quality. Power System Technology, 2004. V12, p. 8. 5. Bentaleb, Fatimazahra., Charif Mabrouki., Alami Semma. УA multi-criteria approach for risk assessment of dry port≠seaport system.Ф Supply Chain Forum: An International Journal, 2015. V16, #4, pp.32Ц49. 6. Huanhuan, Wei., Lu Yuan. УEvaluation of auto dealers credit based on AHP and fuzzy comprehensive evaluation method.Ф Modern Manufacturing Engineering, 2017. V3, p. 4. 7. Zhang N., Tao Q. Engineering Project Risk Evaluation Based on Grades Fuzzy Comprehensive Evaluation. Construction Economy, 2009. pp.S1. 8. Zhengrong, Nie. УOn the Appraisal of Xincheng Tourism Resources Based on AHP≠Fuzzy Comprehensive Evaluation Method.Ф Journal of Tourism College of Zhejiang, 2016. V3, p. 6.