RBF神经网络在沥青路面转运摊铺温度离析分析中的应用  

Analysis of Temperature Segregation of Asphalt Concrete during Paving Based on RBF Network

作　　者：李自光[1] 王文[1] 何志勇[1] 

机构地区：[1]长沙理工大学汽车与机械工程学院,湖南长沙410076

出　　处：《筑路机械与施工机械化》2007年第3期15-17,36,共4页Road Machinery & Construction Mechanization

基　　金：国家高技术研究发展计划(863计划)重大项目(2003AA430020)

摘　　要：通过构建反映沥青混凝土路面转运摊铺施工工艺中温度离析关系的径向基函数(RBF)网络,并利用所做的温度离析检测实验数据对其进行实例计算,得到了温度离析的拟合曲线和误差曲线。结果表明RBF网络能够对温度离析程度作出判断,具有良好的实用性,适于实时预测控制沥青混合料的温度离析分析。　This paper proposes a new approach for dynamic identifying the segregation degree based on RBF NN.The Radial Basis Function neural network is trained with some results of the segregation degree in the process of Turning Conveyor＇s work and the neural network model is applied to measuring the segregation degree in the experiment,The result is very precise,the astringency of the net is excellent,and the approach is feasibility.

关 键 词：沥青混合料 温度离析 分析 RBF 

分 类 号：U415.52[交通运输工程—道路与铁道工程]