Research Article

Step-by-Step Penalized Blind Kriging Methods for Surrogate Modeling

Table 1

Data simulation results of neural network.

FunctionSample SizeBPGR
MRMSPECPU(s)MRMSPECPU(s)

KFn = 600.110 63008.310.114 52142.63
n = 800.108 53509.580.110 52236.98
n = 1000.107 73794.200.108 92246.46
TFn = 1003.972 75112.7914.469 42429.14
GLn = 1000.668 54354.560.672 72306.72
BFn = 1004.341 13597.0922.362 22405.54