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 radial basis function(RBF) neural net work.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.
出处
《中国工程机械学报》
2005年第4期379-382,共4页
Chinese Journal of Construction Machinery
基金
国家"八六三"高技术研究发展计划重大资助项目(2003AA430020)
关键词
径向基函数
沥青混合料
温度离析
分析
radial basis function
asphalt mixer
temperature segregation
analysis
