摘要
首先,介绍了知识发现的产生及其与数据挖掘的区别与联系,较系统地分析了知识发现的研究与应用现状,给出了知识发现的特征、问题求解过程及8种常用的知识发现方法;其次,明确地指出了高层结构智能选型知识发现的4个主要原因,提出了高层结构实例信息的5个典型特征;最后,对作者已建立的6种高层建筑结构智能选型知识发现方法的特征与适用范围等进行了比较,指出了它们具有较好的互补关系而非竞争关系。上述工作为解决结构智能选型知识获取“瓶颈”问题及在结构选型过程中充分利用已有工程实例资源等提供了新的手段与方法。
Firstly, the characteristics, problem-seeking process and eight common methods of knowledge discovery was given by introducing the difference and affiliation between knowledge discovery and its data-digging, analyzing systemically the research and application status quo of knowledge discovery. Secondly,by indicating definitely four main reasons for knowledge discovery for high-rise structures intelligent form selection, five representative characteristics of engineering cases for high-rise buildings was put forward. At last, through the comparisons of the characteristics and scopes of six methods of knowledge discovery for high-rise structures intelligent form selection which the author had set up, a relationship of complementarity , not competition among these methods was pointed out. The work showed above can provide a new way and method for fully making use of engineering case library, resolving the ‘bottleneck＇ of knowledge getting of structural form-selection.
出处
《四川建筑科学研究》
北大核心
2005年第5期19-24,共6页
Sichuan Building Science
基金
国家自然科学基金(50378030)
河南省自然科学基金(0511012900)
关键词
高层建筑
结构系统
智能选型
知识发现
方法比较
high-rise structures
structure system
intelligent form selection
knowledge discovery in database
comparisons among methods
