An Empirical Comparison of Multiple Linear Regression and Artificial Neural Network for Concrete Dam Deformation Modelling

Table 3

Statistical performance of the MLR, SR, BP, and ELM multipoint models.

model	MAE		MSE		S		R		Time
	Training	Predicting	Training	Predicting	Training	Predicting	Training	Predicting	(s)
MLR	0.3586	1.1977	0.3510	2.2516	3.5438	4.0139	0.7621	0.7541	1.4200
SR	0.5224	0.4225	0.4729	0.4777	3.2501	3.2718	0.9517	0.9188	1.6910
BP	0.5609	0.5824	0.3609	0.4542	2.7205	2.8618	0.9759	0.9543	3.0750
ELM	0.3571	0.4117	0.3073	0.4016	1.7774	2.5375	0.9792	0.9558	1.7010

MAE = mean absolute error; MSE = mean square error; S = maximum absolute error; R = the correlation coefficient; MLR = multiple linear regression; SR = stepwise regression; BP = backpropagation; ELM = extreme learning machine.