摘要
将人工神经网络应用于大坝混凝土和坝基岩石弹性参数的识别 ,采用优化迭代步长的BP学习算法 ,建立了根据坝顶水平位移观测资料来识别大坝混凝土和基岩弹性模量的神经网络模型。工程实际应用表明 。
This paper applies artificial neural networks to el as tic parameter recognition of the concrete dam and the rock foundation by using the optimum of the iteration step size.Based on the horizontal displacements of dam,concrete dam and elastic modules of the rock foundation are identified and t he model of artificial neural networks is formed.Practical application to projec ts indicates that the parameter recognition algorithm proposed by this paper possesses higher recognition accuracy,faster convergence and the biggest fitt ing error is less than 0.13mm.
出处
《漯河职业技术学院学报》
2003年第3期6-8,11,共4页
Journal of Luohe Vocational Technical College
关键词
参数识别
混凝土大坝
神经网络
弹性参数
parameter recognition
concrete dam
neural networks
e lastic parameter
