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基于BP神经网络的建筑结构隔震初步设计系统
引用本文:李慧,范萍萍,杜永峰,吴忠铁.基于BP神经网络的建筑结构隔震初步设计系统[J].工程抗震与加固改造,2011,33(1):28-33.
作者姓名:李慧  范萍萍  杜永峰  吴忠铁
作者单位:兰州理工大学西部土木工程防灾减灾教育部工程研究中心;
基金项目:国家自然科学基金项目(50778087); 甘肃省科技支撑计划项目(090-GKCA040)
摘    要:基于BP人工神经网络,以建筑结构的抗震设防类别、设防烈度、场地类别、地震分组、高宽比、长宽比、刚度,质量和面积为主要影响因子,以隔震后结构的最大层剪力比和支座最大位移作为输出结果,建立一个隔震初步设计系统.经25个训练样本对该网络进行训练后,利用15个测试样本对网络进行了测试.通过测试结果与实际设计结果的对比,网络的平...

关 键 词:隔震结构设计  BP神经网络  网络训练  网络测试

Base Isolation Structural Initial Design System Based on BP Neural Network
Li Hui,Fan Ping-ping,Du Yong-feng,Wu Zhong-tie.Base Isolation Structural Initial Design System Based on BP Neural Network[J].Earthquake Resistant Engineering and Retrofitting,2011,33(1):28-33.
Authors:Li Hui  Fan Ping-ping  Du Yong-feng  Wu Zhong-tie
Affiliation:Li Hui,Fan Ping-ping,Du Yong-feng,Wu Zhong-tie(Western Center of Disaster Mitigation in Civil Engineering of Ministry of Education,Lanzhou Univ.of Tech.,Lanzhou 730050,China)
Abstract:Based on BP neural network,as the seismic fortification type,fortification intensity,site type,seismic design group,height-width ratio,aspect ratio,stiffness,mass and of structure to main impact factor,as the maximum shear force ratio and the largest displacement of isolation bearing to output data,a base isolation structural initial design system is set up.After trained network by 25 training samples,it is used to test 15 test samples.It is show that accuracy is 96% by comparing test with actual design res...
Keywords:base isolation structural design  BP neural network  network training  network testing  
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