摘要
针对阻滞指数增长模型对随机性强系统预测精度较差的弊端,用马尔可夫链模型对阻滞指数增长模型的预测结果进行改进,得到物流产业发展增加值的预测值.验证可知,改进后该值更趋合理.选择5个国家物流产业发展数据进行统计分析,采用回归模型论证了物流产业发展与物流人才需求之间存在高度相关.
Logistics model for prediction precision in stochastic systems is not satisfactory.To improve it,firstly this paper improves the prediction by Markov chain model,obtains the improved prediction logistics GDP values,and proves that these values are more reasonable than those of the logistics model.Secondly,this paper chooses five countries logistics development data to process the statistical analysis,and uses the regression model to reason out the causality and high relevance between the development of the...
出处
《深圳大学学报（理工版）》
EI
CAS
北大核心
2009年第1期106-110,共5页
Journal of Shenzhen University(Science and Engineering)
基金
国家自然科学基金资助项目(70573056)
广东省自然科学基金资助项目(7301729)
江苏省高校自然科学基础研究项目(07KSD120067)
关键词
物流产业
物流人才
物流工程
人才需求
马尔可夫链
logistics industry
logistics talents
logistics engineering
talents demand
Markov chain
