Research Article

[Retracted] Prediction of Concrete Compressive Strength Based on the BP Neural Network Optimized by Random Forest and ISSA

Table 1

Ablation experiments.

functionindexSSASSA1SSA2SSA3ISSA

F1Mean
Std
Rank44213
F3Mean
Std6784.05714.29803.3
Rank33142
F4Mean511.2505.8521.4501.5523.5
Std16.624.721.527.362.3
Rank32415
F5Mean676.0677.5665.8683.2670.8
Std45.148.859.731.133.9
Rank34152
F6Mean626.9634.7636.7629.9623.5
Std7.48.812.29.99.7
Rank24531
F7Mean1053.81017.11038.81008.2981.8
Std98.7111.486.241.169.5
Rank53421
F8Mean947.3943.2942.1941.3934.5
Std38.832.131.026.922.8
Rank54321
F9Mean4969.74729.54301.53650.63805.2
Std940.7984.3830.11238.4746.5
Rank54312
F10Mean5076.44983.15465.14740.04504.6
Std683.9744.3804.9661.6696.8
Rank43521
F11Mean1325.61314.11305.31300.91302.1
Std53.570.076.077.063.6
Rank54312
F12Mean
Std
Rank54123
F13Mean
Std
Rank32142
F14Mean
Std
Rank53142
F15Mean
Std
Rank13142
F16Mean2778.12728.72864.82670.12610.3
Std145.3259.6256.1387.0293.1
Rank43521
F17Mean2300.02207.12325.42245.12263.6
Std189.4306.2290.7344.7245.0
Rank41523
F18Mean
Std
Rank15423
F19Mean8133.5
Std5704.1
Rank54123
F20Mean2654.82358.42769.22521.92519.2
Std160.4248.2169.5128.1149.4
Rank41532
F21Mean2471.82460.52477.42445.12440.7
Std57.341.447.049.930.7
Rank43521
F22Mean5352.73642.12545.92938.45087.8
Std1895.51992.0927.51457.32009.7
Rank53214
F23Mean2817.62831.52789.52858.72801.6
Std60.548.035.063.826.2
Rank53142
F24Mean2975.02968.02991.72952.22992.5
Std63.433.146.737.730.3
Rank32415
F25Mean2905.62894.12911.02900.22897.3
Std20.413.821.516.014.0
Rank41532
F26Mean4675.25580.65229.65384.84684.3
Std856.7712.2971.1701.31332.2
Rank15342
F27Mean3235.73244.33202.53237.23227.7
Std15.125.37.712.538.1
Rank35142
F28Mean3233.73247.93246.03247.43254.9
Std22.031.018.020.835.6
Rank14235
F29Mean3972.03981.64078.64039.03912.8
Std192.2191.8169.7269.7193.8
Rank23541
F30Mean
Std
Rank42351
Ar3.5523.1722.9662.6212.276
Fr54321