The Uncertainty Study of Waterway Freight Volume Forecast Model

摘要

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.