Predictions of Overbreak Blocks in Tunnels Based on the Wavelet Neural Network Method and the Geological Statistics Theory

Table 4

Results of wavelet neural network training data.

Samples	Orientation			Trace length	Spacing	Expected output				Actual output
	Joint 1	Joint 2	Bedding
1	0.0/75.0	25.0/20.0	25.0/82.0	7.0	33.0	1	0	0	0	0.9864	0.0107	0.0626	0.0001
2	0.0/75.0	40.0/10.0	30.0/85.0	5.0	15.0	1	0	0	0	0.9866	0.0106	0.0612	0.0001
3	15.0/74.0	38.0/17.0	20.0/82.0	7.0	32.0	1	0	0	0	0.9794	0.0222	0.0100	0.0006
4	30.0/83.0	45.0/15.0	35.0/84.0	13.0	14.0	0	1	0	0	0.0160	0.9617	0.0093	0.0351
5	40.0/80.0	25.0/30.0	30.0/84.0	10.0	14.0	0	0	0	1	0.0039	0.0586	0.0607	0.9275
6	5.0/67.0	50.0/21.0	15.0/83.0	90.0	54.0	1	0	0	0	0.9640	0.0210	0.4803	0.0002
7	10.0/62.0	35.0/16.0	30.0/79.0	30.0	27.0	1	0	0	0	0.9327	0.0357	0.0744	0.0001
8	15.0/65.0	20.0/35.0	15.0/84.0	106.0	45.0	0	0	1	0	0.0159	0.0047	0.9915	0.0564
9	25.0/85.0	20.0/22.0	14.0/84.0	80.0	30.0	0	0	1	0	0.0104	0.0049	0.9916	0.0592
10	65.0/75.0	36.0/21.0	65.0/88.0	52.0	14.0	0	0	1	0	0.0153	0.0058	0.9621	0.0566
11	20.0/68.0	30.0/15.0	0.0/75.0	55.0	15.0	0	0	1	0	0.0161	0.0048	0.9917	0.0566
12	55.0/65.0	26.0/20.0	50.0/80.0	70.0	12.0	0	0	1	0	0.0153	0.0057	0.9607	0.0526
13	18.0/79.0	25.0/18.0	20.0/75.0	26.0	8.0	0	0	1	0	0.0151	0.0057	0.9611	0.0518
14	10.0/77.0	20.0/18.0	35.0/70.0	36.0	9.0	0	0	1	0	0.0143	0.0054	0.9620	0.0496