Rolling Force Prediction in Heavy Plate Rolling Based on Uniform Differential Neural Network

Table 1

Optimized input-to-hidden layer weights.

1	2	3	4	5	6	7	8	9
1	0.4456	−0.2414	0.1351	−0.0842	−0.4818	0.1771	0.9440	−0.0075	−0.4579
2	0.0448	0.1204	−0.0670	−0.7016	0.7175	0.1968	−0.4644	0.7049	0.9254
3	−0.3353	0.1644	−0.7372	0.2863	0.0220	0.5553	−0.3442	−0.1290	0.5077
4	−0.2948	0.1012	−0.2111	−0.5865	0.0200	0.4889	0.2332	−0.5547	0.6458
5	0.4114	−0.4637	0.1488	0.2867	0.0850	0.0605	0.1048	−0.8742	0.8624
6	0.8308	0.8013	−0.7589	0.2929	0.6459	−0.6507	0.0033	−0.0798	−0.6997
7	0.4553	−0.5299	−0.3334	0.6369	−0.3279	0.1081	0.1722	0.7468	0.3356
8	0.7016	−0.1118	0.8840	−0.1757	−0.3861	0.2471	−0.0591	0.4828	−0.3004
9	0.4182	0.2965	−0.3703	−0.3109	−0.5969	0.0480	0.6277	0.3526	−0.5174
10	0.3091	0.6404	−0.7189	0.2736	−0.0714	0.1908	0.0999	−0.1387	0.8122
11	0.0782	−0.1496	0.3921	0.2717	−0.8132	−0.0330	−0.3873	−0.9612	0.2904