NN-BASED BUILDING SITE CONTINUOUS CLASSIFICATION
Firstly, the spatial distribution graphic of two-dimensional membership function for 4 types of standard site was presented. It can be used in fuzzying the site classification directly. The site classifications and their fuzzy characteristics are given much consideration. Then, a continuity method of site classification methods based on the two-dimensional membership function was provided. Nextly, by using spatial distribution graphic of continuous classification above, the method of site continuous classification based on neural network (NN) is established. Finally, the applications are given. The practical results show that this method realized site intelligent continuous classification. This method gets rid of the illogicality of discontinuity and appreciable distinction displayed on the code chart between the site edges, as well as overcomes disadvantage of intelligence level and lower efficiency, those exit in traditional classification. This method causes the spatial distribution of site classification to be more smoothly, and is more corresponding to the practical engineering.
site continuous classification neural network (NN)
Zhang Shi-hai Zhai Tian-song Liu Shu-jun Ou Jin-ping Wang Guang-yuan
School of Civil Engineering, Harbin Institute of Technology, Harbin. China;Professor, Nan Yang Insti Nan Yang Institute of Technology, Nanyang, China School of Civil Engineering, Harbin Institute of Technology, Harbin. China
国际会议
14th World Conference on Earthquake Engineering(第十四届国际地震工程会议)
北京
英文
2008-10-12（万方平台首次上网日期，不代表论文的发表时间）