000012302 001__ 12302
000012302 005__ 20141205160040.0
000012302 04107 $$aeng
000012302 046__ $$k2008-10-12
000012302 100__ $$aZhang, Shihai
000012302 24500 $$aNN-Based Building Site Continuous Classification

000012302 24630 $$n14.$$pProceedings of the 14th World Conference on Earthquake Engineering
000012302 260__ $$b
000012302 506__ $$arestricted
000012302 520__ $$2eng$$aFirstly, 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.

000012302 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000012302 653__ $$asite, continuous classification, neural network (NN)

000012302 7112_ $$a14th World Conference on Earthquake Engineering$$cBejing (CN)$$d2008-10-12 / 2008-10-17$$gWCEE15
000012302 720__ $$aZhang, Shihai$$iZhai, Tiansong$$iLiu, Shujun$$iOu, Jinping$$iWang, Guangyuan
000012302 8560_ $$ffischerc@itam.cas.cz
000012302 8564_ $$s155230$$uhttps://invenio.itam.cas.cz/record/12302/files/14-0121.pdf$$yOriginal version of the author's contribution as presented on CD, Paper ID: 14-0121.
000012302 962__ $$r9324
000012302 980__ $$aPAPER