摘要
本文基于绿色供应链理念,以A企业为代表的报废汽车回收公司为例,建立岭回归-BP神经网络企业绩效综合评价模型。首先采用岭回归分析法对指标进行筛选,再通过BP神经网络模型对筛选的指标进行仿真训练,并将实际结果与仿真结果进行对比评价,最终就企业存在的问题分别从3个层面提出相关建议。
Based on the concept of green supply chain,represented by a company scrapped automobiles recycling companies,this paper establishes a ridge regression and BP neural network comprehensive evaluation model of enterprise performance.First,it filtered by the method of ridge regression analysis,index by BP neural network model of the filter simulation training,compare actual results with the simulation results and evaluation,eventually enterprises existing problems respectively from three aspects and put forward relevant suggestions.
出处
《工业技术经济》
CSSCI
北大核心
2017年第4期98-106,共9页
Journal of Industrial Technological Economics
基金
2016年度无锡市哲学社会科学精品课题研究成果(项目编号:16-C-33)
关键词
BP神经网络
岭回归
绿色供应链
企业绩效
BP neural network
ridge regression
green supply chain
enterprise performance