[Retracted] Prediction of the Least Principal Stresses Using Drilling Data: A Machine Learning Application

Table 4

The optimized weights and biases of the developed ANN-based model to predict σ_min.

I								b1,i	b2
	j = 1		j = 2	j = 3	j = 4	j = 5
1	0.653		−2.017	6.168	−6.467	2.957	−0.363	0.379	0.481
2	−3.731		7.783	−0.918	−0.988	0.579	−2.357	−2.552
3	11.880		9.908	1.902	1.074	−4.115	−3.858	−5.135
4	−0.956		7.366	−0.953	0.713	3.276	1.281	−1.135
5	4.816		8.946	−2.218	0.170	1.409	−3.243	−2.571
6	−4.431		−1.371	−1.022	−2.537	0.786	−2.683	−0.397
7	−0.339		0.733	1.250	3.444	1.301	1.464	−1.011
8	1.520		0.881	−1.025	1.345	−0.458	−6.470	−0.439
9	13.907		11.934	1.574	0.449	−4.262	4.254	−6.812
10	1.046		8.303	−3.238	−0.367	0.403	5.115	−2.807
11	2.097		2.800	−1.399	0.553	−0.719	4.314	−3.129
12	−1.530		−0.759	−2.516	1.398	0.005	−1.618	0.148
13	3.257		−0.022	1.328	−0.005	−0.315	−6.300	−1.223
14	3.930		−5.095	3.617	0.298	−1.285	2.611	0.732
15	1.121		4.980	−3.389	0.046	0.650	3.910	4.241