Study of the Model Forecast of Beijing Municipal Solid Waste Output 0 x k t following formula: sustainable use of resources (100705403); (KM201010016014).
According to the relational degree analysis, the factors of the output of Beijing municipal solid waste were sorted. Grey model was used to forecast the output of Beijing municipal solid waste from 2007 to 2016, and then using the conclusions of this model, the output of Beijing municipal solid waste by BP Neural Network Model and Multivariate Linear Regression Model were further forcasted. Finally, we made a weighted analysis through comparing the predicted values of the three models in order to get a third prediction of Beijing municipal solid waste, thus filled a gap of the single model forecast and improved the prediction precision.
Ying LI Shao-hua XU Jing ZHOU
Beijing University of Engineering and Architecture, Beijing, China
国际会议
The Fifth International Conference on Waste Management and Technology(第五届固体废物管理与技术国际会议)
北京
英文
113-120
2010-11-01（万方平台首次上网日期，不代表论文的发表时间）