Optimization Design on Functionally Graded Cem for Trains Based on LPM Model with Calibrated Parameters

Table 3

Prediction accuracy criteria of the surrogate model.

	RSME	R^2	RAAE	RMAE
A1	0.07676	0.89427	0.04384	0.35779
A2	0.0929	0.87506	0.06388	0.34854
A3	0.09257	0.86847	0.06738	0.31286
A4	0.10964	0.84381	0.07869	0.48723
A5	0.14451	0.7878	0.11366	0.44218
A6	0.11715	0.75014	0.07769	0.45686
F1	0.07559	0.94785	0.04143	0.39939
F2	0.0672	0.95057	0.04726	0.3013
F3	0.07876	0.93542	0.0513	0.25993
F4	0.07216	0.94311	0.05133	0.23806
F5	0.04035	0.97145	0.02033	0.22219
F6	0.08886	0.86227	0.05324	0.28304