%0 Journal Article
%T IMPROVEMENT AND APPLICATION OF ANN METHOD IN STRESS AND DEFORMATION PREDICTIONS DURING TUNNEL EXCAVATION<br>神经网络方法在洞室施工期应力及变形预测中的应用及其改进
%A Chang Bin
%A Li Ning
%A Ma Yukuo
%A <br>常斌李宁
%A 马玉扩
%J 岩石力学与工程学报
%D 2004
%I 
%X The stresses and deformations of rocks during tunnel excavation are predicted using an ANN approach based on results of FEM simulation. The algorithm of the BP network technique is improved appropriately. Several new improving methods are developed and lead to good results. The approach proposed in this paper can obtain more accurate and more suitable results for practical applications.
%K tunneling engineering
%K BP network
%K non-linear coefficient
%K genetic algorithm
%K anneal algorithm
%K Hebb theory<br>洞室
%K 隧道工程
%K BP网络
%K 非线性系数
%K 遗传算法
%K 模拟退火算法
%K Hebb理论
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=D3421FAA1A0A0F0C&jid=35E747D791A1346351AFB523B7FA35CB&aid=EEA1611B76DABCEB&yid=D0E58B75BFD8E51C&vid=EA389574707BDED3&iid=DF92D298D3FF1E6E&sid=9D30FB531DC548C0&eid=4A8E5D086592D016&journal_id=1000-6915&journal_name=岩石力学与工程学报&referenced_num=3&reference_num=13