BP神经网络在公路料场数模中的应用

BP Neural Network Applications in the Digital-to-Analog Highway Stockyard

公路设计需在10 km半径内选择相应的料场并提供料场地形数字模型。对于百公里以上的公路勘测,使用传统地形测量手段为料场建模则需要大量的工时,影响测设任务进程。本文利用个别的特征点,采用BP神经网路拟合法建立数字模型可以提高工作效率。

Highway design to be selected within a 10km radius of the stockyard and established digital model.For more than one hundred kilometers of highway surveying,using the traditional means of topographic survey for the stockyard modeling you need a lot of man-hours,the process of impact survey and design tasks.In this paper,the individual feature points,using BP neural network fitting to create a digital model can improve the work efficiency.