Identification of Shaft Centerline Orbit for Wind Power Units Based on Hopfield Neural Network Improved by Simulated Annealing

Table 2

Training data of Hopfield neural network.

Category	𝜑1	𝜑2	𝜑3	𝜑4	𝜑5	𝜑6	𝜑7
1	0.34	0.1	0.01	0.02	−0.01	0	0.02
1	0.32	0.09	0.02	0	−0.01	0.01	0.01
1	0.3	0.08	0.01	0.02	0	0.01	0
1	0.31	0.09	0.01	0.02	−0.01	0	0.02
1	0.32	0.1	0.02	0	−0.01	0.01	0.01
2	0.18	0.02	0.01	0.04	0	0	−0.01
2	0.14	0.01	0.03	0.01	0	0.02	−0.02
2	0.16	0.02	0.02	0.02	0.01	0.02	−0.01
2	0.17	0.03	0.02	0.01	0.02	0	0
2	0.15	0.01	0	0.04	0.01	0.01	−0.01
3	−0.58	0.52	4.08	3.86	15.14	−2.81	0.12
3	−0.59	0.55	4.11	3.74	15.52	−2.51	0.11
3	−0.61	0.52	4.2	3.88	15.2	−2.98	0.13
3	−0.6	0.53	4.15	3.78	15.24	−2.67	0.11
3	−0.58	0.54	4.12	3.82	15.3	−2.78	0.12