摘要
分析了神经网络方法用于结构状态识别的可行性，提出了现有神经网络用于结构状态识别需解决的问题和改进的方法，并针对梁类结构的裂纹识别，做了尝试性的探索．
Based on a feasibility analysis for the neural net applied to the identification of damages instructure, this paper puts forward the problems and the ways to improve them for the existing methods applying neural net to such an identification. A tentative identification of damages in beam structures has been carried out.
出处
《东北大学学报（自然科学版）》
EI
CAS
CSCD
1994年第2期210-214,共5页
Journal of Northeastern University(Natural Science)
基金
国家自然科学基金
关键词
神经网络
状态识别
结构力学
梁
neural net
state identification
machine learning, learning step
backpropagation algerithm.
