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一类模糊神经网络方法在底框结构抗震性能预测中的应用
引用本文:王营池,王汝恒,王月明.一类模糊神经网络方法在底框结构抗震性能预测中的应用[J].建筑科学,2005,21(2):19-21,7.
作者姓名:王营池  王汝恒  王月明
作者单位:西南科技大学,土木工程学院,四川,绵阳,621002;西南科技大学,土木工程学院,四川,绵阳,621002;重庆大学,土木工程学院,重庆,400045
基金项目:四川省自然科学基金资助(212-116800)
摘    要:作者对底框结构抗震性能进行了数值试验,提出了基于二次综合评判的模糊神经网络预测方法,并以试验资料进行训练和预测。结果表明,该方法对底框结构抗震性能预测效果较好,适宜于该类结构方案选择时应用。

关 键 词:底框结构  抗震性能  预测  模糊神经网络
文章编号:1002-8528(2005)02-0019-03

Application of a Kind of Fuzzy Neural Network Method in Prediction of Seismic Performance for the Frame Structure of Bottom Story
WANG Yin-chi,WANG Ru-heng,WANG Yue-ming.Application of a Kind of Fuzzy Neural Network Method in Prediction of Seismic Performance for the Frame Structure of Bottom Story[J].Building Science,2005,21(2):19-21,7.
Authors:WANG Yin-chi  WANG Ru-heng  WANG Yue-ming
Affiliation:WANG Yin-chi~1,WANG Ru-heng~
Abstract:In the paper the author carried on the numeral test of the seismic performance for the frame structure of bottom story and put forward a prediction method on the basis of the fuzzy neural network of the two times synthesis judges. Then the method was trained and predicted by testing the materials. The result shows that this method has better effect for prediction of the seismic property for the frame structure of bottom story and is suitable for application in the scheme selection of this kind of structure.
Keywords:frame structure of bottom story  seismic performance  prediction  fuzzy neural network
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