The Uncertainty Study of Waterway Freight Volume Forecast Model

Abstract:

Article Preview

In this paper, we use the waterway freight volume and the actual statistical data of completed amount of fixed investment to model the prediction of waterway freight volume, to introduce tolerance error value into the collected data, and to evaluate the uncertainty of the model by using rough neural network. Finally, by comparatively analyzing the deviation of the predicted data and the ideal data, we proved the feasibility of rough neural network in the uncertainty analysis of waterway freight volume forecast model.

Info:

Periodical:

Edited by:

Xiangdong Zhang, Hongnan Li, Xiating Feng and Zhihua Chen

Pages:

1241-1244

Citation:

H. Y. Xie et al., "The Uncertainty Study of Waterway Freight Volume Forecast Model", Applied Mechanics and Materials, Vols. 253-255, pp. 1241-1244, 2013

Online since:

December 2012

Export:

Price:

$41.00

[1] Fang Qian. Water transport volume forecasting method and its application [D]. ​​Hohai University, a master's degree thesis, 2006. (In Chinese).

[2] Xinlian Xie. Shipping management and operations Dalian: Dalian Maritime University Press, 2009: 269 -300. (In Chinese).

[3] Dongbo Zhang, Yaonan Wang, Lingzhi Yi. Rough set neural network and its application in the field of intelligent information processing applications [J]. Control and Decision, 20 , 2(2005)121-126. (In Chinese).

[4] Lingras P J.Rough Neural Networks[C].Proceedings of Sixth International Conference on Information,Processing and Management of Uncertainty in Knowledge—Based Systems . Canada, 1445-1550(1996).

[5] Licai Yang, Lei Jia. Rough neural network in traffic flow forecasting [J]. Highway and Transportation Research, 10 (2004)38-41. (In Chinese).

[6] Haiyan. Xie, Lianchang. Zhao, Deqiang Wang. (2002) Rough neural network model for stock market predication, Journal of Dalian Maritime University, Vol. 28, No. 3, pp.77-80. (In Chinese).

[7] Zhaoli Zhang, Shenghe Sun. Rough neural network and its application in multisensor data fusion, Control and Decision, 16, 1(2001)76- 78. (In Chinese).

[8] Information on http: /www. moc. gov. cn/zhuzhan/tongjigongbao.