BP神经网络在隧道工法设计中的应用  

Application of BP Neural Network in Tunnel Engineering Design

作　　者：宋华君 SONG Hua-jun(NO.4 Engineering Corporation Limited of CR20G,Shandong Qingdao 266061)

机构地区：[1]中铁二十局集团第四工程有限公司,山东青岛266061

出　　处：《数字技术与应用》2019年第2期83-85,共3页Digital Technology & Application

摘　　要：将BP神经网络应用到隧道在施工工法设计的过程中,以围岩级别、地质构造、隧道所在地形环境、水文特征等为影响因素,建立隧道工法设计方案数据库。在隧道工程快速发展的背景下,向智能化方向转变能够高效、可靠的完成设计工作,本文中将探究BP神经网络在隧道工法设计中的应用。BP neural network is applied to the tunnel in the process of construction method design.The surrounding rock grade,geological structure,tunnel location environment and hydrological characteristics are taken as the influencing factors,and the tunnel construction scheme database is established.Under the background of the rapid development of tunnel engineering,the transformation to the intelligent direction can complete the design work efficiently and reliably.In this paper,the application of BP neural network in tunnel engineering design will be explored.

关 键 词：BP算法 神经网络 隧道施工 工法比选 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]