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基于ABC和BP神经网络的铁路货运成本预测研究
引用本文:赵智文,卢沁瑶. 基于ABC和BP神经网络的铁路货运成本预测研究[J]. 铁道运输与经济, 2006, 28(12): 20-22
作者姓名:赵智文  卢沁瑶
作者单位:西南交通大学,经济管理学院,四川,成都,610031
摘    要:
运用作业成本法,结合BP神经网络理论建立铁路货运成本预测模型。通过案例分析,得出BP神经网络可以更准确的预测铁路货运成本费用的结论。

关 键 词:作业成本法  BP神经网络  铁路  货运成本
文章编号:1003-1421(2006)12-0020-03
收稿时间:2006-08-28
修稿时间:2006-08-28

Study on the Prediction of Railway Freight Transport Cost Based on Activity-based Costing and BP Neural Networks
ZHAO Zhi-wen,LU Qin-yao. Study on the Prediction of Railway Freight Transport Cost Based on Activity-based Costing and BP Neural Networks[J]. Rail Way Transport and Economy, 2006, 28(12): 20-22
Authors:ZHAO Zhi-wen  LU Qin-yao
Affiliation:School of Economics and Management, Southwest Jiaotong University, Chengdu, Sichuan 610031, China
Abstract:
By applying the activity-based costing (ABC) and combining the BP theory, the prediction model of railway freight transportation cost is established. The case study indicates that the BP neural networks could more exactly predict the railway freight transport cost.
Keywords:Activity-based costing (ABC)  BP neural networks  railway  freight transport cost
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