| 基于模糊神经网络的规则巨型框架结构风荷载特性预测与研究 |
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| 引用本文： | 佟伟,王汝恒,贾彬,熊曜,郭文. 基于模糊神经网络的规则巨型框架结构风荷载特性预测与研究[J]. 四川建筑科学研究, 2009, 35(1) |
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| 作者姓名： | 佟伟 王汝恒 贾彬 熊曜 郭文 |
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| 作者单位： | 1. 西南科技大学土木工程与建筑学院,四川,绵阳,621002;中信渤海铝业控股有限公司,北京,100101
2. 西南科技大学土木工程与建筑学院,四川,绵阳,621002 |
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| 摘 要： | 应用模糊神经网络方法,结合规则的巨型框架结构的风洞试验,成功地预测了表面有凸出梁柱的规则巨型框架结构的风压分布特性.结果表明,采用该方法可以综合考虑各因素的影响,并能有效、简捷地处理常规方法难以解决的问题.
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| 关 键 词： | 改进的加乘型模糊神经网络 巨型框架 风压分布 预测 |
Prediction and study of the wind load on mega structure using fuzzy neural networks |
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| TONG Wei,WANG Ruheng,JIA Bin,XIONG Yao,GUO Wen. Prediction and study of the wind load on mega structure using fuzzy neural networks[J]. Building Science Research of Sichuan, 2009, 35(1) |
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| Authors: | TONG Wei WANG Ruheng JIA Bin XIONG Yao GUO Wen |
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| Affiliation: | TONG Wei1,2,WANG Ruheng1,JIA Bin1,XIONG Yao1,GUO Wen1(1.School of Civil Engineering , Architecture,Southwest University of Science , Technology,Mianyang621002,China,2.CITIC Bohai Aluminium Industries Holding Company Limited,Beijing100101,China) |
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| Abstract: | Based on the wind tunnel test of the mega structure,a new fuzzy neural networks model(FNNM) has been applied to predict the wind load distribution on mega structure.The results show that the well-trained FNNM has a good behavior to predict the distribution of wind load on mega structure.The result given by this paper shows that the FNNM is easy to synthesize different factors that are difficult to deal with by the normal numeric algorithm. |
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| Keywords: | the developed additive-multiplicative fuzzy neural networks mega structure wind load prediction |
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