%0 Journal Article
%T STUDY ON PARALLEL EVOLUTIONARY NEURAL NETWORK FEM ON STABILITY AND OPTIMIZATION FOR LARGE CAVERN GROUPS——PART Ⅱ: CASE STUDY<br>大型洞室群稳定性与优化的并行进化神经网络有限元方法研究--第二部分:实例研究
%A An Honggang
%A Feng Xiating
%A <br>安红刚
%A 冯夏庭
%J 岩石力学与工程学报
%D 2003
%I 
%X A case history study on replacement scheme optimization and stability analysis of soft rock mass at a Shuibuya underground power house is presented using the proposed parallel evolutionary neural network FEM. The results indicate that the presented methodology is superior in global searching and quick convergence. The case history study gives the optimum replacement scheme and replacement steps. Through the comparison between the FEM and neural network calculation of the optimum scheme,the methodology is tested to be reasonable. Meanwhile,the rational suggestion is proposed to guide the construction.
%K optimization
%K parallel evolutionary neural network FEM
%K large cavern group
%K replacement of soft rock mass<br>洞室群
%K 稳定性
%K 神经网络
%K 有限元
%K 水布垭地下厂房
%K 软岩置换
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=D3421FAA1A0A0F0C&jid=35E747D791A1346351AFB523B7FA35CB&aid=045FBDAA230347BD&yid=D43C4A19B2EE3C0A&vid=BC12EA701C895178&iid=F3090AE9B60B7ED1&sid=FFC2683A1E8523F1&eid=E521CC33DC22B84E&journal_id=1000-6915&journal_name=岩石力学与工程学报&referenced_num=8&reference_num=7