%0 Journal Article
%T NEW NEURAL NETWORK FOR CONSTITU- TIVE MODELING<br>用于本构模型的新的神经网络
%A Zhao Qilin
%A Wang Sijin
%A Jin Guangqian
%A Hu Yeping
%A <br>赵启林
%A 王思敬
%A 金广谦
%A Hu Yeping
%J 岩石力学与工程学报
%D 2003
%I 
%X In this paper,a new neural network is developed to connect FE analysis with the feed-forward neural network. With this new neural network,the constitutive model of material may be determined from the information of nodal's force and displacement. In this methodology,the stage which takes long time to obtain stress and strain by FE analysis is prevented.
%K neural network
%K constitutive relation
%K constitutive modeling
%K FEM<br>建筑学
%K 本构模型
%K 神经网络
%K FEM
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=D3421FAA1A0A0F0C&jid=35E747D791A1346351AFB523B7FA35CB&aid=D04E14DC2F0A5F5B&yid=D43C4A19B2EE3C0A&vid=BC12EA701C895178&iid=9CF7A0430CBB2DFD&sid=477F4C97C1F396EF&eid=C13C5D291D09385A&journal_id=1000-6915&journal_name=岩石力学与工程学报&referenced_num=0&reference_num=8