Safety Monitoring Model of a Super-High Concrete Dam by Using RBF Neural Network Coupled with Kernel Principal Component Analysis

Table 2

Optimization results of kernels calculated by MAFSA.

Kernel	Optimal parameters of kernel	Maximum contribution rate of the first kernel PC (%)
K-type kernel		85.5
Polynomial kernel		99.7
Hybrid kernel		99.1