人工神经网络与概率方法在深基开挖信息施工中的应用  

APPLICATION OF ANN AND PROBABILITY METHOD TO INFORMATION TECHNOLOGY FOR CONSTRUCTION OF DEEP EXCAVATION

作　　者：李庆来[1] 

机构地区：[1]上海市隧道工程轨道交通设计研究院

出　　处：《土木工程学报》2001年第2期96-100,共5页China Civil Engineering Journal

摘　　要：将人工神经网络理论和概率方法用于深基开挖信息施工之中 ,用BorlandC + +Builder 5 0编写了深基开挖信息施工软件DEIFC系统 。The deformation prediction of a retaining wall is one of the unsolved problems. The excessive horizontal deformation of a retaining wall may lead to damage the wall, adjacent buildings and facilities. A model of the artificial neural network for nonlinear prediction is proposed in the paper. The Bayes discrimination analysis method is also put to use to check the stability of a deep excavation. An object?oriented program of the information technology for construction is developed. With the application of the program to a practical engineering project in Hangzhou, the reliability of the program is confirmed.

关 键 词：人工神经网络 概率 深开挖 信息施工 计算机软件 

分 类 号：TU753.1[建筑科学—建筑技术科学]