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    欧进萍

    • 教授     博士生导师   硕士生导师
    • 性别:男
    • 毕业院校:哈尔滨建筑大学
    • 学位:博士
    • 所在单位:建设工程学院
    • 电子邮箱:ojinping@dlut.edu.cn

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    BP-PSO-based intelligent case retrieval method for high-rise structural form selection

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    论文类型:期刊论文

    发表时间:2013-04-01

    发表刊物:SCIENCE CHINA-TECHNOLOGICAL SCIENCES

    收录刊物:SCIE、EI

    卷号:56

    期号:4

    页面范围:940-944

    ISSN号:1674-7321

    关键字:structural form selection; case based reasoning; high-rise structure; BP-PSO neutral network

    摘要:Modern architectures are developing in the direction of tall buildings and complex structures, and the theoretical analysis and the design experience have seriously lagged behind the construction of super high-rise structures. Structural form selection, especially the case based reasoning (CBR) based structural form selection, is a promising tool for the construction of high-rise structures. In view of the limit of cognitive ability of domain experts, a BP (back propagation)-PSO (particle swarm optimization)-based intelligence case retrieval method for high-rise structural form selection is proposed. The CBR-based case retrieval method and the construction of the BP-PSO neutral network are introduced. And then the BP-PSO-based case retrieval method is validated by some engineering cases. The results of training and prediction indicate that the proposed method has good ability to retrieve the cases of high-rise structures.