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粘弹性阻尼结构的递归神经网络优化
引用本文:周建中,赵鸿铁,薛建阳.粘弹性阻尼结构的递归神经网络优化[J].西安建筑科技大学学报(自然科学版),2005,37(1):35-39.
作者姓名:周建中  赵鸿铁  薛建阳
作者单位:1. 北京林业大学水土保持学院,北京,100083
2. 西安建筑科技大学土木工程学院,陕西,西安,710055
基金项目:北京林业大学振兴计划课题资助项目(200304021),陕西省教育厅自然科学专项基金资助项目(03JK130)
摘    要:根据粘弹性阻尼结构减震理论及神经网络控制理论,提出应用带有偏差单元的递归神经网络(RNNWBU)进行粘弹性阻尼结构优化的新方法.该法通过对粘弹性阻尼结构进行神经网络优化设置,从而可以考虑不同地震动特性的影响.通过数值仿真分析,可看出该方法是对粘弹性阻尼结构的传统优化方法的进一步发展,因而具有更大的优越性,对推动结构控制理论的发展具有重要意义.

关 键 词:粘弹性阻尼结构  带有偏差单元的递归神经网络  优化设置
文章编号:1006-7930(2005)01-0035-05
修稿时间:2004年6月15日

Optimum of the viscoelastic structure based on recurrent neural network
ZHOU Jian-zhong,ZHAO Hong-tie,XUE Jian-yang.Optimum of the viscoelastic structure based on recurrent neural network[J].Journal of Xi'an University of Architecture & Technology,2005,37(1):35-39.
Authors:ZHOU Jian-zhong  ZHAO Hong-tie  XUE Jian-yang
Affiliation:ZHOU Jian-zhong~
Abstract:Based on the seismic reduction theory of structure with viscoelastic damper and the neural network control theory, this paper put forward a new optimum method of structure with viscoelastic damper applying recurrent neural network with bias unit (RNNWBU). By optimizing installation of structure with viscoelastic damper applying neural network technique, and therefore the influence of different characters of earthquake ground motion can be considered. The numerical simulation analysis indicates that the method of this paper has made further development on the traditional optimum method of structure with viscoelastic damper and therefore has some more superiority. This paper played an important role in promoting the development of the theory of structural control.
Keywords:structure with viscoelastic damper  recurrent neural network with bias unit  optimum installation
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