Research Article

Computational Intelligence-Based Structural Health Monitoring of Corroded and Eccentrically Loaded Reinforced Concrete Columns

Table 3

Selection of the best neuron based on R and MSE.

S. noNeuronValuesRankSum
MSERMSER
TrValTeTrValTeTrValTeTrValTe

130.0003450.0010250.0012740.99540.97510.9908497410438
240.0004470.0016170.0006970.99320.99360.9873710382636
350.0002940.0009720.0012900.99600.98500.992817827328
460.0005080.0006340.0013150.99500.99240.9681939541040
570.0004700.0022550.0026730.99350.98550.97758121176953
680.0010540.0006710.0011500.99180.97980.98371245119849
790.0003530.0007370.0021490.99490.99160.9838561065739
8100.0003650.0005890.0007490.99540.99270.987862443524
9110.0003290.0002840.0052580.99600.99510.95132113211130
10120.0008220.0017900.0048700.99290.88210.94641111129131268
11130.0003650.0006910.0004780.99580.97020.9935652312230
12140.0003320.0010200.0012600.99640.97470.92013861111342
13150.0005340.0023120.0004440.99260.98400.995110131108143

Tr = training, Val = validation, and Te = testing.