摘要
介绍了国内外公路运输货运量的预测方法,分析各种预测方法的优缺点,以及实际的预测效果。针对公路运输货运量受很多相关因素的影响,使得现有的一些预测方法预测精度不高的问题,应用混沌神经网络,建立了公路运输货运量预测的混沌神经网络预测模型,并与传统的BP神经网络预测结果对比,表明此模型具有较好的预测效果。
The paper introduces the forecasting methods of highway transport freight both at home and abroad, analyzes the advantages and disadvantages of the methods and the forecasting results, uses chaotic neural networks to set up the forecasting model for highway transport freight and compares its result with that of traditional BP neural networks.
出处
《物流技术》
2008年第3期36-38,共3页
Logistics Technology
关键词
混沌神经网络
BP神经网络
公路运输
货运量
预测
chaotic neural network
BP neural network
highway transport
freight
forecasting
