超限高层建筑工程数据库及bayes知识发现-地震工程与工程振动.pdfVIP

27 1 V o l. 27, N o. 1 2007 2 JOURNAL OF EARTH QUAKE ENG IN EER ING AND ENG INEER ING V IBRAT ION F eb. 2007 : 1000- 1301( 2007) 01- 0072- 08 Bayes 1, 2 1 2 梁本亮 , 吕西林 , 王增忠 ( 1. , 200092 2. , 20 14 18) : , , , A rc- G IS, , , , , : A rcG IS M atlab : P315. 95 TU 3 11. 41 : A Research on database of high-rise buildings exceeding som e lim its in codes and knowledge discovery based on bayesian network 1, 2 1 2 L iang Ben liang , L u X ilin , W ang Zeng zhong ( 1. K ey L aboratory for D isaster R eduction in C iv il Eng ineering, T ongji U n ivers ity, Shanghai 200092, Ch ina 2. C ollege of A rch itecture Engin eering, Shangha i N orm al U n ivers ity, Shanghai 2014 18, Ch ina) Abstract: T he design inform at ion o f the high-rise bu ild ing s in Shangh aiw as co llected. T he tab les and datab ase that can indicate the design inform ation w as constru cted. A new info rm ation system b ased on A rcG IS w as form ed to overcom e the def iciency o f trad itionalM IS. T he Bayesian newt ork w as introduced to know ledge discovery w ith the database as the foundat ion. The practice proved th at th is system has u sed the com puter storage, com putation, sta- t istic, sh aring as w ell as spat ial dem on strat ion function and the B ayesian netw ork prov ides a new m ethod for stru c- tura l system se lection. The research results h ave certa in practical significance to the design mi provem en