[1]张云波.神经网络近似结构分析的最佳样本集[J].华侨大学学报(自然科学版),2001,22(4):397-400.[doi:10.3969/j.issn.1000-5013.2001.04.015]
 Zhang Yunbo.A Study on Optimal Sample Set Based on Approximate Structural Analysis of Neural Network[J].Journal of Huaqiao University(Natural Science),2001,22(4):397-400.[doi:10.3969/j.issn.1000-5013.2001.04.015]
点击复制

神经网络近似结构分析的最佳样本集()
分享到:

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

卷:
第22卷
期数:
2001年第4期
页码:
397-400
栏目:
出版日期:
2001-10-20

文章信息/Info

Title:
A Study on Optimal Sample Set Based on Approximate Structural Analysis of Neural Network
文章编号:
1000-5013(2001)04-0397-04
作者:
张云波
华侨大学土木工程系 泉州362011
Author(s):
Zhang Yunbo
Dept. of Civil Eng., Huaqiao Univ., 362011, Quanzhou
关键词:
神经网络 结构分析 最佳样本集
Keywords:
neural network structural analysis optimal sample set
分类号:
TP183
DOI:
10.3969/j.issn.1000-5013.2001.04.015
文献标志码:
A
摘要:
基于多层神经网络映射存在定理,建立近似结构分析的人工神经网络模型 .构造不同样本集进行计算机数值试验,分析不同样本集学习后模型的模拟精度 .算例分析表明,当采用适当的样本集训练神经网络时,得出的可靠性指标可满足精度要求同时训练时间又最少 .
Abstract:
Based on the theorem of the existence of multilayered neural network mapping, a model of artificial neural network is set up for approximate structural analysis. Different sample sets are constructed for computerized numerical experimentation, and the accuracy of simulating post-learning model of different sample sets is analysed. As indicated by analysing examples of computation, when proper sample set is adopted to train neural network, a reliability index satisfying the need of accuracy can be obtained and the train time is minimal.

参考文献/References:

[1] Faravelli L. Response-surface approach for reliability analysis [J]. Journal of Engineering Mechanics, 1989, (12):2763-2781.
[2] 陆金桂, 余俊, 王浩. 基于人工神经网络的结构近似分析方法的研究 [J]. 中国科学A辑, 1994(6):653-658.
[3] 李向京, 胡云昌. 基于遗传算法-神经网络混合训练技术的结构近似可靠分析方法 [J]. 土木工程学报, 2000(5):40-45.doi:10.3321/j.issn:1000-131X.2000.05.007.
[4] 赵国藩. 工程结构可靠性理论与应用 [M]. 大连:大连理工大学出版社, 1996.1-350.

相似文献/References:

[1]王全凤.结构分析中的病态矩阵[J].华侨大学学报(自然科学版),1989,10(2):151.[doi:10.11830/ISSN.1000-5013.1989.02.0151]
 Wang Quanfeng.Ill-Conditioned Matrix in Structural Analysis[J].Journal of Huaqiao University(Natural Science),1989,10(4):151.[doi:10.11830/ISSN.1000-5013.1989.02.0151]
[2]康赐荣,陈芳,魏腾雄.基于ANN的模糊控制规则的自动生成[J].华侨大学学报(自然科学版),1997,18(2):199.[doi:10.11830/ISSN.1000-5013.1997.02.0199]
 Kang Cirong,Chen Fang,Wei Tengxiong.Automated Rule of Fuzzy Control Based on Artificial Neural Network[J].Journal of Huaqiao University(Natural Science),1997,18(4):199.[doi:10.11830/ISSN.1000-5013.1997.02.0199]
[3]谢惠琴,王全义.时延细胞神经网络的概周期解问题[J].华侨大学学报(自然科学版),2003,24(1):16.[doi:10.3969/j.issn.1000-5013.2003.01.003]
 Xie Huiqin,Wang Quanyi.Problem of Almost Periodic Solution to Cellular Neural Network with Time Delay[J].Journal of Huaqiao University(Natural Science),2003,24(4):16.[doi:10.3969/j.issn.1000-5013.2003.01.003]
[4]苏金泷,戴在平.模糊神经网络的极点配置自校正滤波器[J].华侨大学学报(自然科学版),2004,25(3):310.[doi:10.3969/j.issn.1000-5013.2004.03.021]
 Su Jinlong,Dai Zaiping.A Self-Corrected Filter Based on Fuzzy Neural Network and Pole Allocation[J].Journal of Huaqiao University(Natural Science),2004,25(4):310.[doi:10.3969/j.issn.1000-5013.2004.03.021]
[5]杨盈,刘扬,聂舟,等.Trolox及其酯化物与DPPH自由基的反应机理[J].华侨大学学报(自然科学版),2009,30(3):280.[doi:10.11830/ISSN.1000-5013.2009.03.0280]
 YANG Ying,LIU Yang,NIE Zhou,et al.Reaction Mechanism of Trolox and Its Ester Derivative Reacted with DPPH· Radical[J].Journal of Huaqiao University(Natural Science),2009,30(4):280.[doi:10.11830/ISSN.1000-5013.2009.03.0280]
[6]徐昌进,姚凌云.具有时滞的神经网络模型的分支分析[J].华侨大学学报(自然科学版),2012,33(6):694.[doi:10.11830/ISSN.1000-5013.2012.06.0694]
 XU Chang-jin,YAO Ling-yun.Bifurcation Analysis of a Delayed Neural Networks[J].Journal of Huaqiao University(Natural Science),2012,33(4):694.[doi:10.11830/ISSN.1000-5013.2012.06.0694]

备注/Memo

备注/Memo:
福建省自然科学基金资助项目
更新日期/Last Update: 2014-03-23