Table 3: Summary of the results for various input cases.

Input parameter to the ANNNumber of inputsExpected damage level (%) EDMinimum predicted damage levelMaximum predicted damage levelAverage predicted damage levelNo. of epochs taken for training the ANN Performance accuracy
Predicted damage value (OD)Difference (ED–OD)Predicted damage value (OD)Difference (ED–OD)Predicted damage value (OD)Difference (ED–OD)

p-f 240
50
70
32.19
33.37
68.09
−7.81
−16.63
−1.91
47.98
66.10
72.17
+7.98
+16.10
+2.17
37.69
57.56
70.40
−2.31
+7.56
+0.40
1203 1
s-f 240
50
70
33.01
31.77
58.98
−6.99
−18.23
−11.02
52.95
77.68
77.68
+12.95
+27.68
+7.68
42.05
48.63
71.44
+2.05
−1.37
+1.44
423 0.06
f140
50
70
20.13
52.59
57.60
−19.87
+2.59
−12.40
58.77
58.82
59.00
+18.77
+8.82
−11.00
35.82
56.09
59.00
−4.18
+6.09
−11.00
5000 0.25