Estimation of Optimum Dilution in the GMAW Process Using Integrated ANN-GA

Table 7

Comparison of actual and predicted values of the clad bead parameters using neural network data (training).

Trial no.	Actual bead parameters				Predicted bead parameters				Error
	𝑊; (mm)	𝑃; (mm)	𝑅; (mm)	𝐷; (%)	𝑊; (mm)	𝑃; (mm)	𝑅; (mm)	𝐷; (%)	𝑊; (mm)	𝑃; (mm)	𝑅; (mm)	𝐷; (%)
1	7.741	1.8466	5.8752	11.4273	7.335	2.0986	6.0792	10.8222	0.406	−0.252	−0.204	0.6051
2	7.3231	2.16475	5.72095	15.29097	6.8214	2.0617	5.6946	14.9379	0.5017	0.10305	0.02635	0.35307
3	9.6171	2.69495	6.37445	18.54077	9.3713	2.8982	6.4084	17.4578	0.2458	0.20325	−0.0339	1.08297
4	6.6335	2.3089	5.554	17.23138	7.4306	2.2927	5.6232	15.7908	−0.7971	0.0162	−0.0692	1.44058
5	10.514	2.7298	5.4645	20.8755	7.8991	2.5154	5.8078	18.0664	2.6149	0.2144	−0.3433	2.8091
6	6.5557	1.99045	5.80585	13.65762	6.5761	1.9158	5.7867	14.2039	−0.0204	0.07465	0.01915	−0.5462
7	7.4772	2.5737	6.65505	15.74121	7.393	2.7191	6.7112	14.7525	0.0842	−0.1454	−0.0561	0.98871
8	7.5886	2.50455	6.4069	15.77816	7.5943	2.4317	6.3834	15.9881	−0.0057	0.07285	0.0235	−0.2099
9	7.5014	2.1842	5.6782	16.82349	7.4652	2.2814	5.7674	16.5744	0.0362	−0.0972	−0.0892	0.24909
10	6.1421	1.3752	6.0976	8.941799	5.6583	1.44	6.2054	9.3753	0.4838	−0.0648	−0.1078	−0.4335
11	8.5647	3.18536	5.63655	22.94721	9.9724	2.962	5.5227	18.9566	−1.4077	0.22336	0.11385	3.99061
12	7.9575	2.2018	5.8281	15.74941	9.0693	2.6919	6.2337	17.5548	−1.1118	−0.4901	−0.4056	−1.8053
13	7.7085	1.85885	6.07515	13.27285	6.7699	1.7807	6.109	12.8584	0.9386	0.07815	−0.0338	0.41445
14	7.8365	2.3577	5.74915	16.63287	8.5364	2.9431	6.6735	15.9653	−0.6999	−0.5854	−0.9243	0.66757
15	8.2082	2.3658	5.99005	16.38043	8.0083	2.371	6.0186	16.3701	0.1999	−0.0052	−0.0285	0.01033
16	7.9371	2.1362	6.0153	15.18374	7.9441	2.1197	6.01	15.3735	−0.007	0.0165	0.0053	−0.1897
17	8.4731	2.17145	5.69895	14.82758	8.6735	2.5165	5.4985	15.2875	−0.2001	−0.3450	0.2031	−0.4599