Forecasting of Products Recovery Based on Grey Neural Network Model

摘要：

Recovery of discarded products is an effective approach to save resource and to protect environment How to forecast the quantity of the discarded products is a key problem because of the many uncertain factors in the recover process.According to the characteristic of the recovery process,we combined the GM(1,1) model and BP neural network to get a new forecasting model.This model has the advantages of the single model The result of the case analysis shows that the combined forecasting model is effective and practical

关键词： Recovery of Discarded Products GM(1 1) Model BP Neural Network Combined Grey Neural Network Model

作者: Zhong Zhao

作者单位: School of Economics & Management China University of Petroleum(East China) Qingdao,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 557-561

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）