Prediction of Soil Deformation in Tunnelling Using Artificial Neural Networks

Table 6

Comparison between monitoring data and training results [59].

Sample	Monitoring data				Training results
	/GPa		/(°)	/MPa	/GPa		/(°)	/MPa
1	0.0130	0.300	0.0027	0.20	0.01255	0.3001	0.002710	0.1991
2	0.0130	0.325	0.0033	0.45	0.01434	0.3349	0.003310	0.4246
3	0.0130	0.350	0.0039	0.70	0.01231	0.3485	0.003919	0.7002
4	0.0365	0.300	0.0033	0.70	0.03577	0.2945	0.003325	0.7004
5	0.0365	0.325	0.0039	0.20	0.04477	0.3273	0.003561	0.3097
6	0.0365	0.350	0.0027	0.45	0.03810	0.3448	0.002668	0.4696
7	0.0600	0.300	0.0039	0.45	0.06053	0.3033	0.003864	0.4498
8	0.0600	0.325	0.0027	0.70	0.05486	0.3296	0.003062	0.6121
9	0.0600	0.350	0.0033	0.20	0.05526	0.3420	0.003311	0.1909