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| 基于改进的灰色BP神经网络的区域物流成本预测 | |
| 引用本文： | 张凤荣,金俊武,李延忠.基于改进的灰色BP神经网络的区域物流成本预测[J].公路交通科技,2005,22(6):155-158,166. |
| 作者姓名： | 张凤荣 金俊武 李延忠 |
| 作者单位： | 1. 东北师范大学,吉林,长春,130117 2. 吉林大学,吉林,长春,130025 3. 长春理工大学,吉林,长春,130022 |
| 基金项目： | 东北师范大学人文社科校内青年基金资助项目(111493031) |
| 摘 要： | 区域物流成本的测量与分析是考察一个地区物流水平的关键问题,合理地计算和预测物流成本可以使各级政府对物流发展采取有效的宏观调控措施。本文提出了适合中国地区的物流成本的较合理的测算方法,以吉林省为例进行了实证分析,并采用改进的灰色BP神经网络模型对吉林省的物流成本进行预测,取得了满意的预测结果。研究表明控制物流成本仍然是振兴区域经济,提高经济效益的源泉。 |
| 关 键 词： | 区域物流成本 灰色BP神经网络 预测 |
| 文章编号： | 1002-0268(2005)06-0155-04 |
Regional Logistics Cost Forecast Based on Improved Grey BP Neural Network |
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| ZHANG Feng-rong,JIN Jun-wu,LI Yan-zhong.Regional Logistics Cost Forecast Based on Improved Grey BP Neural Network[J].Journal of Highway and Transportation Research and Development,2005,22(6):155-158,166. | |
| Authors: | ZHANG Feng-rong JIN Jun-wu LI Yan-zhong |
| Abstract: | It is crucial to measure and analyze the regional logistics cost in regional logistics survey.Reasonable calculation and forecasting for logistics cost can help government of different levels adopt the effective macroscopic measures for logistics development.This paper has put forward comparatively reasonable method,which suits Chinese situation,taking Jilin Province as an example to analyze;and has got satisfactory forecast result with the improved grey BP neural network model through the forecasts of logistics cost in Jilin Province.Researches show that the control of logistics cost is important for regional economic development and economic efficiency. |
| Keywords: | Regional logistics cost Grey BP neural network Forecast |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |