Title :
Research on Support Vector Machine´s Prediction of Concrete Carbonization
Author :
Li Zhitao ; He Hongming ; Zhao Shengli
Author_Institution :
Coll. of Urban & Rural Constr., Agric. Univ. of Hebei, Baoding
Abstract :
By analyzing the concrete carbonization, the support vector machine (SVM) method was put forward to forecast concrete carbonization. The testing results show that prediction precision of SVM is much higher than that of BP network. The research is valuable and can provide a useful reference for application of similar engineering.
Keywords :
concrete; production engineering computing; support vector machines; SVM method; concrete carbonization; support vector machine; Concrete; Educational institutions; Equations; Helium; Information analysis; Information management; Seminars; Steel; Support vector machines; Testing; Concrete carbonization; Forecast; Regression; SVM;
Conference_Titel :
Business and Information Management, 2008. ISBIM '08. International Seminar on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3560-9
DOI :
10.1109/ISBIM.2008.206
