基于遗传算法的结构损伤识别  

Structure Damage Identification Based on Genetic Algorithm

作　　者：饶文碧[1] 徐锐[1] 尚钢[2] 

机构地区：[1]武汉理工大学计算机科学与技术学院,武汉430070 [2]黄冈师范学院,黄冈438000

出　　处：《武汉理工大学学报》2003年第7期75-77,共3页Journal of Wuhan University of Technology

基　　金：湖北省自然科学基金 ( 2 0 0 1ABB0 778);武汉市青年科技晨光计划项目 ( 2 0 0 15 0 0 5 0 3 9)

摘　　要：从遗传算法和神经网络相结合的角度研究了结构损伤识别问题。首先从理论上阐述了遗传算法在研究非线性识别问题中的必要性和有效性 ,然后利用遗传算法与神经网络结合的方法解决结构损伤模型的识别问题 。The problem of structure damage identification based on combination of genetic algorithms and neural network is studied. Firstly we present the necessity and availability of combining the neural network and genetic algorithm to solve the problem of nonliearity and uncertainties.Then study the possibility of solving the problem of structure damage with this model.The simulating results show that extensive mapping ability of neural network and rapid global convergence of genetic algorithm can be acquired by combining them.

关 键 词：神经网络 遗传算法 结构损伤 

分 类 号：O235[理学—运筹学与控制论]