灰色-马尔柯夫链预测优化模型——以江苏省物流需求预测为例
    点此下载全文
引用本文:何有世1,李明辉2.灰色-马尔柯夫链预测优化模型——以江苏省物流需求预测为例[J].经济数学,2011,(3):97-101
摘要点击次数: 995
全文下载次数: 174
作者单位
何有世1,李明辉2 (1 江苏大学 工商管理学院江苏 镇江 2120132 江苏大学 财经学院江苏 镇江 212013) 
中文摘要:讨论了现有灰色-马尔柯夫链预测方法的基本思路,针对该思路的不足之处提出了合理刻画预测模型精度特征的两个精度指标——均值指标和稳定性指标,并据此建立了灰色-马尔柯夫链预测优化模型,最终以江苏省物流需求为例,对该模型进行了实例验证和应用.
中文关键词:灰色-马尔柯夫链预测  优化模型  江苏省  物流需求
 
The Grey - Markov Forecasting Optimization Model:the Case of Logistics Demand Prediction of Jiangsu Province
Abstract:This paper discussed the basic ideas of current gray -markov model. The disadvantages of the basic ideas were first analyzed, and then we proposed two precision indexes—mean index and stability index, which can characterize the reasonable accuracy of prediction model features. Based on the two precision indexes, a gray -Markov forecasting optimization model was established. Finally, this prediction model was tested and verified by the example of logistics demand of Jiangsu province.
keywords:grey -Markov forecasting  optimization model  Jiangsu province  logistics demand
查看全文   查看/发表评论   下载pdf阅读器