Time series prediction of foundation pit displacement using Gaussian process method
Quan Jiang · Journal of Guangxi University · 2007
With application of Gaussian Process(GP) as a power tool in field of machine learning,a new method is proposed for time series prediction of foundation pit displacement aiming to errors of prediction results using conventional method often are too large.The results of cases studies about foundation pit in Shenzhen city show the new method is scientific,feasible and has superior abilities of self-learning,nonlinear dynamic processing and high prediction accuracy.