[1]郑浩,王全凤.BP神经网络在高层结构体系选择中的应用[J].华侨大学学报(自然科学版),2003,24(1):48-55.[doi:10.3969/j.issn.1000-5013.2003.01.009]
　Zheng Hao,Wang Quanfeng.Application of BP Neural Net to the Choice of Structural System for a High-Rise Building[J].Journal of Huaqiao University(Natural Science),2003,24(1):48-55.[doi:10.3969/j.issn.1000-5013.2003.01.009]
点击复制

BP神经网络在高层结构体系选择中的应用()
分享到：

《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第24卷
期数:
2003年第1期
页码:
48-55
栏目:
出版日期:
2003-01-20

文章信息/Info

Title:
Application of BP Neural Net to the Choice of Structural System for a High-Rise Building
文章编号:
1000-5013(2003)01-0048-08
作者:
郑浩; 王全凤
华侨大学土木工程系; 华侨大学土木工程系 福建泉州362011; 福建泉州362011
Author(s):
Zheng Hao;  Wang Quanfeng
Dept. of Civil Eng., Huaqiao Univ., 362011, Quanzhou, China
关键词:
高层建筑;  结构体系选择;  人工神经网络;  传统BP算法;  改进的带动量自适应学习率BP算法;  L-M算法
Keywords:
high-rise building;  choice of structural system;  artificial neural net;  traditional BP algorithm;  improved algorithm with momentum adaptive accessibility;  L-M algorithm
分类号:
TU973.1;
DOI:
10.3969/j.issn.1000-5013.2003.01.009
文献标志码:
A
摘要:
提取高层建筑结构选型的主要控制因素,以此建立基于 BP(Back- Propagation)神经网络的高层建筑结构体系选择的数学模型 .分别采用传统的 BP算法、改进的带动量自适应学习率 BP算法,以及 L- M(Levernberg- Marquart)算法,进行高层建筑结构体系选择的研究 .研究结果表明,传统的 BP算法和改进的带动量自适应学习率 BP算法,无法适应土木工程中大规模的数据结构 .而采用 L- M算法神经网络,较传统 BP算法快 10 2~ 10 3倍,并且精度高,可以较好地解决高层建筑结构体系选型问题 .
Abstract:
In choosing structural system for a high rise building, main control factors are drawn, and with which a mathematical model is formed on the basis of back propagation (BP) neural net. In doing research on the choice of structural system for a high rise, traditional Bp algorithm, improved algorithm with momentum adaptive accessibility and levernberg Marquert (L M) algorithm are adopted respectively. As indicated by results of research, L M algorithm neural net should be adopted while the other two fail to fit massive data structure of civil engineering; L M algorith is 10 2~10 3 times faster than traditional BP algorithm and is high in accuracy, it solves the choice of structural system fairly well for a high rise building.

参考文献/References:

[1] 刘大海, 杨翠如. 高层建筑结构方案优选 [M]. 北京:中国建筑工业出版社, 1996.17-22.
[2] 陶忠, 王光远. 关于高层建筑结构选型设计的初步探讨 [J]. 哈尔滨建筑大学学报, 2000(1):20-25.
[3] 王光远, 吕大刚. 论结构选型的若干关键问题 [J]. 哈尔滨建筑大学学报, 2000(1):1-7.
[4] 边肇祺. 模式识别 [M]. 北京:清华大学出版社, 2000.35-43.

相似文献/References:

[1]林煌斌,王全凤,张云波.复杂高层转换层结构的智能选型[J].华侨大学学报(自然科学版),2008,29(3):427.[doi:10.11830/ISSN.1000-5013.2008.03.0427]
　LIN Huang-bin,WANG Quan-feng,ZHANG Yun-bo.Form-Intellectual Selection of Transfer Story Structure in Complicated Tall Building Based on Artificial Neural Network[J].Journal of Huaqiao University(Natural Science),2008,29(1):427.[doi:10.11830/ISSN.1000-5013.2008.03.0427]
[2]冉茂宇.高层建筑受下垫面热辐射的理论计算模型[J].华侨大学学报(自然科学版),2008,29(4):609.[doi:10.11830/ISSN.1000-5013.2008.04.0609]
　RAN Mao-yu.Theoretical Calculation Model of the Thermal Radiation from the Underlying Surface to the Tall Building[J].Journal of Huaqiao University(Natural Science),2008,29(1):609.[doi:10.11830/ISSN.1000-5013.2008.04.0609]

更新日期/Last Update: 2014-03-23