A structural identification method based on recurrent neural network and auto-regressive and moving average model

doi:10.4028/www.scientific.net/AMM.256-259.2261

CORC > 兰州理工大学 > 兰州理工大学 > 土木工程学院

	A structural identification method based on recurrent neural network and auto-regressive and moving average model
	Xu, Jing; Wang, Xiuli
	2013
关键词	recurrent neural networks auto-regressive and moving average model structural identification nonlinear mapping
卷号	256-259
DOI	10.4028/www.scientific.net/AMM.256-259.2261
页码	2261-2265
英文摘要	The work presented a structural identification method based on recurrent neural network and auto-regressive and moving average model. The proposed approach involves two steps. The first step is to build a recurrent neural network to map the complex nonlinear relation between the excitations and responses of the structure-unknown system by on-line learning. The second step is to propose a procedure to determine the modal parameters of the structure from the trained neural networks. The dynamic characteristics of the structure are directly evaluated from the weighting matrices of the trained recurrent neural network. Furthermore, a illustrative example demonstrates the feasibility of using the proposed method to identify modal parameters of structure-unknown systems.
会议录	ADVANCES IN CIVIL ENGINEERING II, PTS 1-4
会议录出版者	TRANS TECH PUBLICATIONS LTD
会议录出版地	LAUBLSRUTISTR 24, CH-8717 STAFA-ZURICH, SWITZERLAND
语种	英语
WOS研究方向	Engineering
WOS记录号	WOS:000317696001126
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/36790]
专题	土木工程学院
通讯作者	Xu, Jing
作者单位	Lanzhou Univ Technol, Coll Civil Engn, Lanzhou 730050, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Xu, Jing,Wang, Xiuli. A structural identification method based on recurrent neural network and auto-regressive and moving average model[C]. 见:.