A Novel Intelligent Method for Predicting the Penetration Rate of the Tunnel Boring Machine in Rocks

Table 4

The predictions yielded by the five four-factor RVM-PSO models for the penetration rates (PR) in the test samples.

Sample no.	The PR (m/h) predicted using the RVM-PSO method with one missing main influencing factor
	α	UCS	BTS	SWP	PSI
T1	2.09	2.21	2.10	2.18	2.12
T2	2.89	2.90	2.91	2.92	2.88
T3	2.05	2.13	2.07	2.10	2.06
T4	2.07	2.14	2.01	1.96	1.98
T5	1.80	1.71	1.77	1.79	1.80
T6	2.02	1.77	1.85	1.79	1.87
T7	2.04	2.27	2.15	1.97	2.30
T8	1.69	1.72	1.74	1.85	1.80
T9	1.90	1.72	1.84	2.00	1.83
T10	2.02	1.87	1.95	1.98	1.95