基于内在因素提取的内河航运量神经网络预测方法  

The Neural Network Method Based on the Interior Factors of River Transportation Forecasts the River Transportation Capacity

作　　者：邱毓敏[1] 吴凤平[1] 徐炜勇[1] 李旭循[1] 

机构地区：[1]河海大学交通学院,南京210098

出　　处：《交通与运输》2007年第B12期90-92,共3页Traffic & Transportation

摘　　要：内河航运量预测是内河航道网规划的依据,利用主成分分析法提取影响内河航运量的内在因素,利用内在影响因素与内河航运量之间的联系,结合BP神经网络建立模型对内河航运量进行预测。算例表明,该模型可以提高预测精度。Programming river sea-route net is based on forecasting the river transportation capacity, this article uses principal component analysis to pick up th-e interior influence factors, then uses the relationship between interior influence f-actors and river transportation to combine BP neural network to set up a model f-or forecasting river transportation. Example shows the mode can improve the preci-sion of forecasting.

关 键 词：内河航运量 预测 主成分分析法 内在影响因素 BP神经网络 

分 类 号：F550[经济管理—产业经济]