Table 15 Validation performance of RBFNN model 6 using data captured in the proposed approach.

From: Image-processing-based model for surface roughness evaluation in titanium based alloys using dual tree complex wavelet transform and radial basis function neural networks

Width

Prediction accuracy (%)

Average MSE

Training

Test

0.10

98.91

96.24

0.018

0.15

100

97.12

0.017

0.20

98.91

96.51

0.019

0.25

96.53

94.44

0.018