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。 Land reclamation project The road surface selection process of field roads is a complicated and nonlinear mapping process. The type of pavement structure needs to be determined through the experience evaluation of professionals. This paper presents a BP neural network based on the selection of pavement structure model to Ankang rural road typical pavement structure data, for example, to verify. Through the application of accurate data mining method to solve the problem of pavement structure type selection, it helps to promote intelligent and scientific decision-making of pavement structure in the field of land engineering.