摘要
详细介绍用于预测公路货运量的BP神经神经网络模型的构建,并用所构建的模型对浙江省2009和2010年的公路货运量进行预测,同时对公路客运量及其周转量和水路客货运量及其周转量也进行预测,旨在为浙江省公路水路交通线路和车站码头的建设布局和投资规模提供科学客观的参考依据。
The paper describes the construction of BP neural network model which was used to forecast the highway Cargo transportation volume,and predicts the highway cargo transportation volume in 2009 and 2010 using the built model,and predicts the highway passenger transportation volume,waterway cargo transportation volume,passenger transportation volume and their corresponding turnover.The purpose is to provide a scientific and objective reference for the construction of terminal layout and scale of investment of highway and waterway transportation routes and stations in Zhejiang province.
出处
《丽水学院学报》
2010年第5期21-25,共5页
Journal of Lishui University
基金
国家自然科学基金资助项目(70773089)
关键词
BP神经网络
公路
水路
客货运量
周转量
预测
BP neural network
highway
waterway
passenger and cargo transportation volume
turnover
prediction