摘要
为了给城市环境规划提供依据,我们要对城市垃圾产量进行预测,以期揭示其变化规律和发展趋势。本文从分析城市垃圾产量变化规律着手,给出了城市垃圾产量预测的常用模型,进而确定组合预测模型。通过层次分析确定组合预测权系数,将目前常用的垃圾产量预测模型有机地结合起来,建立了垃圾产量组合预测的结构模型。算例结果表明,该组合预测模型在预测准确性方面能得到改进,能对城市垃圾产量进行有效的预测。
We have to forecast the production of waste, based on the result of which urban environment design is planned. In addition, this could also reveal the rules and trends governing waste production. This paper analyzes the principles of waste production, by building some models that normally are used to forecast the production of waste, and decides the model of combination forecast. The paper decides on the weight Coefficient, which combines different structure model, to build forecast model for waste production. The resuhs of the cases show that this forecast model has good forecasting precisions and could forecast the production of waste in a city efficiently.
出处
《北京理工大学学报（社会科学版）》
CSSCI
2009年第2期54-57,共4页
Journal of Beijing Institute of Technology：Social Sciences Edition
关键词
组合预测
城市垃圾量
灰色预测
人工神经网络
线性回归
combination forecast
waste production in city
gray model
neural network
linear regression
