计算机工程与应用Issue(6)：222-226,5.DOI:10.3778/j.issn.1002-8331.1402-0148
基于多模型拟合的西安市生活垃圾量预测
Forecasting output of municipal solid waste in Xi’an based on multiple fitting models
摘要
Abstract
The scientific prediction of municipal solid waste is the basis of the government department of sanitation safe assessment, planning and decision-making. This paper takes Xi’an city, the biggest central city in Northwest China, as an example. By qualitative and quantitative analysis of the factors which affect the waste output, three significant factors which include city’s built-up area, urban per capita disposable income and the urban population are used as predictive indexes. The GM(1,1)grey forecasting model and the polynomial fitting model based on least square method forecast the three indexes, and then a multivariate linear regression model is set up to forecast the emission of MSW of Xi’an 2010 to 2020 on the basis of the early prediction. Significant F test indicates that multiple integrated prediction model is reasonable, and prediction results are meaningful.关键词
城市固体垃圾/GM(1,1)灰度预测模型/多元线性回归模型Key words
municipal solid waste/GM(1,1)grey forecasting model/Multivariate Linear Regression(MLR)model分类
信息技术与安全科学引用本文复制引用
李艳平,麻敏洁,鲁来凤..基于多模型拟合的西安市生活垃圾量预测[J].计算机工程与应用,2015,(6):222-226,5.基金项目
国家自然科学基金（No.61173190，No.61202317，No.61373150，No.61272436，No.61402275）；陕西自然科学基础研究计划（No.2012JQ8023）。 （）
