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

Table 3

Comparison of the predicted results with different methods.

Sample no.	In situ measurement (m/h)	BP-ANN [25]		LS-SVM		RVM		RVM-PSO
		The predicted results (m/h)	The relative errors (%)	The predicted results (m/h)	The relative errors (%)	The predicted results (m/h)	The relative errors (%)	The predicted results (m/h)	The relative errors (%)
T1	2.2	2.46	11.82	2.22	0.98	2.18	−0.8	2.18	−0.73
T2	2.95	3.13	6.1	2.78	−5.72	2.84	−3.73	2.93	−0.68
T3	2.2	2.19	−0.45	2.1	−4.66	2.06	−6.22	2.13	−3.05
T4	2.03	2.38	17.24	2.06	1.53	2.04	0.55	2.1	3.48
T5	1.75	1.74	−0.57	1.78	1.48	1.71	−2.46	1.77	1.37
T6	1.78	1.61	−9.55	1.89	6.37	1.91	7.25	1.78	0.16
T7	2.39	2.27	−5.02	2.04	−14.7	2.05	−14.27	2.36	−1.31
T8	1.6	1.71	6.87	1.80	12.65	1.76	10.18	1.65	3.13
T9	1.58	1.57	−0.63	1.74	10.35	1.74	10.25	1.78	12.7
T10	1.84	1.71	−7.07	1.95	5.84	1.99	8.22	1.86	1.08