The Prediction of Pile Foundation Buried Depth Based on BP Neural Network Optimized by Quantum Particle Swarm Optimization

Table 1

43 groups of data for training.

No.	Pile number	Borehole number	X-coordinate	Y-coordinate	Z-coordinate	h1 (m)	h2 (m)	h3 (m)	h4 (m)	H (m)
1	3	K42	11.7510	171.2880	31.9300	0.40	12.60	3.80	6.60	23.40
2	12	K43	32.2510	174.2880	31.7000	0.70	12.10	4.50	5.90	23.20
3	27	K44	59.6510	174.2880	31.9600	1.30	12.60	3.10	6.70	23.70
4	41	K45	82.4510	175.6380	31.9200	0.80	14.20	2.70	6.90	24.60
5	51	K46	91.7000	164.9380	31.9700	0.90	12.70	3.30	7.60	24.50
39	15	K66	53.0730	246.5240	31.7400	1.40	12.30	2.70	6.80	23.20
40	160	K56	12.7330	204.0270	31.6100	1.30	9.00	5.50	7.60	23.40
41	151	K57	36.2730	204.9410	31.5900	1.30	11.90	3.00	7.10	23.30
42	148	K58	53.0730	203.5410	31.8600	1.20	13.30	2.10	6.80	23.40
43	139	K59	73.5230	204.9410	31.9400	1.30	4.50	9.90	7.70	23.40