Artificial Neural Network on Tool Condition Monitoring in Hard Turning of AISI4140 Steel Using Carbide Tool

Table 6

Weights and biases between the input and hidden layers.

i	Ei =  () +  (ap) +  (f) +  (Fr) +  (L) + θ
						θ
1	7.3428	−5.3242	4.1512	0.3261	2.5408	−4.5807
2	6.1143	0.2539	18.9248	10.1580	1.9234	3.4457
3	−7.3623	−2.354	9.7067	−1.9377	−1.2277	−3.4140
4	10.3312	−0.0336	−0.0338	5.2923	3.6745	−8.4789
5	−5.3057	4.2288	−0.8456	7.9866	2.7899	0.6754
6	11.6888	7.7987	0.1363	−1.9781	−4.3452	−2.2241
7	6.2586	1.111	−10.9194	−5.3945	3.8769	−1.2896
8	12.5535	−4.98	0.6096	−17.4612	−3.8723	11.0522
9	5.8727	−0.2758	7.0786	4.9682	4.2301	2.6555
10	−6.3757	−3.0314	−19.2195	11.4638	−1.0789	1.9935