摘要
针对常规的梁的边界条件识别方法的不足，本文提出了利用神经网络来实现梁的边界条件识别．模拟结果表明：利用神经网络可以准确地实现梁的边界条件识别，并可克服常规的梁的边界条件识别方法中因观测值出现较大的误差而造成识别结果失真的情况．
This paper presents the method of recognizing the boundary conditions of a beam based on neural networks,which overcomes the limitations of the customary method.Simulation indicates that the results are satisfied and the proposed scheme has the better ability to avoid distored results caused by the error of one observed value in the customary method.
出处
《湖南大学学报（自然科学版）》
EI
CAS
CSCD
1998年第4期87-90,112,共5页
Journal of Hunan University:Natural Sciences
基金
湖南省自然科学基金
机械部专项基金
关键词
神经网络
边界条件
参数识别
neural networks,boundary conditions,parameter recognition
