Study on prediction model of night sky brightness based on time series theory
The purpose of night sky brightness prediction model was established for prevention and evaluation of urban light pollution.The BP neural network algorithm based on time series theory was introduced, owing to the nonlinear distribution of light pollution night sky brightness.The principle of neural network was discussed and the prediction model based on time series theory was established.The test data as the training sample was trained by improved BP algorithm with MATLAB and the error were analyzed.When the Number of Hidden Neurons was five and the training function is trainlm, the maximal absolute error can reach 0.003 6 cd/m2 and the maximal relative error 2.361 4%.Running results are consistent with the experiment data and the relation between the target vectors is better.
urban night environment monitor prediction sky brightness neural network
Liu Ming Zhang Ruina Zhang Baogang Zhu Peisheng Zuo Mei Wen liu Li Zhuangzhuang
School of Architecture and Fine Art,Dalian University of Technology,Dalian,China 116024 TianJin Key Laboratory of Architecture Physics Environment and Ecological Technology Laboratory,Tian Municipal and Environmental Engineering Institute,Shenyang Jianzhu University,Shenyang,China,110168
国内会议
南京
英文
642-646
2010-05-07（万方平台首次上网日期，不代表论文的发表时间）