Title :
Deformation Forecast of Deep Foundation Pit Based on Grey Forecast Model
Author :
Xu, Ting-hua ; Chen, Jing-ru ; Tian, Li
Author_Institution :
Qingdao Technol. Univ., Qingdao
Abstract :
Grey forecast technology used for horizontal and vertical displacement of deep foundation pit edge, ambient buildings and pipes can meet the demands of small amount data in the beginning or lack of experience. Theories of forecast technology are perfect and the accuracy of forecast is satisfied. It can forecast safety of foundation pit and guide engineering construction. It is an efficient method for displacement analysis and forecast of deep foundation pit support. Forecast accuracy has been verified by practical projects. The forecast value is situated in the forecast cover region. Moreover, the value is partial to safety, so as to meet the demands of forecast.
Keywords :
construction; forecasting theory; grey systems; ambient buildings; deep foundation pit edge; deformation forecast; displacement analysis; grey forecast model; guide engineering; horizontal displacement; pipes; vertical displacement; Buildings; Deformable models; Demand forecasting; Economic forecasting; Machine learning; Monitoring; Predictive models; Roads; Safety; Technology forecasting; Deep foundation pit; Deformation forecast; Grey forecast; Unequal interval residual;
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
DOI :
10.1109/ICMLC.2007.4370573
