The Uncertainty Study of Waterway Freight Volume Forecast Model


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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.



Edited by:

Xiangdong Zhang, Hongnan Li, Xiating Feng and Zhihua Chen




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




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