基于BP神经网络的土地整治工程典型路面选型研究

Research on typical pavement selection of land renovation project based on BP neural network

土地整治工程田间道路的路面选型过程是一个复杂的、非线性映射过程,需要借助专业人员的经验评估来确定路面结构类型。本文提出的基于BP神经网络路面结构选型模型,以安康市农村公路典型路面结构数据为例,进行分析验证。通过应用精准的数据挖掘方法解决路面结构类型选型问题,有助于促进土地工程领域路面结构选型决策的智能化和科学化。

Road surface pavement selection process is a complex,non-linear mapping process,which need for professional experience to determine the type of pavement structure.The model of pavement structure selection based on BP neural network proposed in this paper taken the typical pavement structure data of rural roads in Ankang City as an example to analyze and validation.Through the application of precise data mining method to solve the problem of pavement structure type selection is helpful to promote intelligent and scientific decision-making of pavement structure selection in the field of land engineering.