Strength Model of Cemented Filling Body Based on a Neural Network Algorithm

Table 3

Comparison of the measured and predicted values.

Test sample	Compressive strength of filling body (MPa)			Error (%)	Absolute error (%)	Goodness of fit (%)
	Measured value	Predicted value	Absolute deviation
σ6(3d)	1.01	1.0108	−0.0008	−0.0792	0.0792	99.92
σ7(3d)	0.95	0.9075	0.0425	4.4737	4.4737	95.53
σ8(3d)	0.63	0.6607	−0.0307	−4.8730	4.8730	95.13
σ9(3d)	0.61	0.6223	−0.0123	−2.0164	2.0164	97.98
σ6(7d)	1.51	1.4984	0.0116	0.7682	0.7682	99.23
σ7(7d)	1.35	1.3184	0.0316	2.3407	2.3407	97.66
σ8(7d)	0.81	0.8282	−0.0182	−2.2469	2.2469	97.75
σ9(7d)	0.88	0.8134	0.0666	7.5682	7.5682	92.43
σ6(28d)	2.61	2.6185	−0.0085	−0.3257	0.3257	99.67
σ7(28d)	2.25	2.2829	−0.0329	−1.4622	1.4622	98.54
σ8(28d)	1.48	1.4831	−0.0031	−0.2095	0.2095	99.79
σ9(28d)	1.46	1.4653	−0.0053	−0.3630	0.3630	99.64