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

Table 4

Statistical parameters for different algorithm.

Learning algorithm	Number of neurons	Training data			Testing data
		MSE	R^2	MEP	MSE	R^2	MEP
SCG	3	0.00057	0.98981	1.31653	0.00256	0.96076	2.94666
SCG	4	0.00046	0.98986	1.02986	0.00481	0.95956	3.08031
SCG	5	0.0003	0.98994	0.93364	0.00485	0.95951	4.01234
SCG	6	0.0004	0.98989	1.01	0.00187	0.96114	2.26038
SCG	7	0.00029	0.98995	0.78759	0.00302	0.96054	2.94155
SCG	8	0.00015	0.99002	0.57621	0.00348	0.96025	3.13816
SCG	9	0.00015	0.99002	0.63741	0.00372	0.96016	3.41839
SCG	10	0.00015	0.99002	0.60759	0.00489	0.95948	2.93078
SCG	11	0.00015	0.99002	0.58705	0.00491	0.95949	3.04516
SCG	12	0.00015	0.99002	0.56734	0.006	0.95881	4.53562
SCG	13	0.00015	0.99002	0.53412	0.00423	0.95987	3.48091
LM	3	0.00028	0.98996	0.9039	0.00509	0.95943	3.39502
LM	4	0.00023	0.98998	0.75563	0.00373	0.96013	3.04203
LM	5	0.00015	0.99002	0.60055	0.00271	0.96064	2.88465
LM	6	0.00015	0.99002	0.57589	0.00304	0.96051	2.45096
LM	7	0.00015	0.99002	0.57904	0.00237	0.96087	2.63842
LM	8	0.00018	0.99001	0.58989	0.00186	0.96112	2.08327
LM	9	0.00015	0.99003	0.52193	0.00432	0.95984	2.93576
LM	10	0.00013	0.99003	0.57541	0.00444	0.96944	2.97762
LM	11	0.00014	0.99003	0.54573	0.00357	0.96055	3.2325
LM	12	0.00015	0.99003	0.58785	0.00305	0.95974	3.13017
LM	13	0.00015	0.99002	0.60479	0.00298	0.96022	3.03257
BFGS	3	0.00081	0.98969	1.3605	0.00235	0.96085	2.9088
BFGS	4	0.00015	0.99002	0.58916	0.00398	0.96	3.3963
BFGS	5	0.00051	0.98984	1.05825	0.00427	0.95982	3.24591
BFGS	6	0.00015	0.99002	0.59805	0.00414	0.95995	3.49553
BFGS	7	0.00017	0.99001	0.59326	0.00239	0.96086	2.63266
BFGS	8	0.00015	0.99002	0.58963	0.00206	0.961	2.39612
BFGS	9	0.00016	0.99002	0.5409	0.00299	0.96053	3.20363
BFGS	10	0.00015	0.99002	0.62393	0.00504	0.96005	3.77635
BFGS	11	0.00015	0.99002	0.5864	0.00393	0.96014	2.98896
BFGS	12	0.00015	0.99002	0.58289	0.00373	0.95942	3.18478
BFGS	13	0.00015	0.99002	0.54833	0.00366	0.96019	3.00182
RP	3	0.00125	0.98946	1.79614	0.00279	0.96065	2.91004
RP	4	0.0006	0.9898	1.24792	0.00411	0.95993	3.29755
RP	5	0.00057	0.98981	1.23021	0.00312	0.96045	3.05601
RP	6	0.00055	0.98982	1.26527	0.0033	0.96038	2.95563
RP	7	0.00052	0.98984	1.22464	0.00359	0.96023	3.0753
RP	8	0.00042	0.98989	1.05456	0.00233	0.96088	2.63968
RP	9	0.0003	0.98994	0.91032	0.00401	0.96047	3.56107
RP	10	0.00027	0.98996	0.75731	0.00308	0.96021	3.16648
RP	11	0.00032	0.98993	0.93577	0.00501	0.95947	4.04232
RP	12	0.00037	0.98991	0.85098	0.00428	0.95998	3.39852
RP	13	0.00042	0.98989	1.00289	0.00362	0.95983	3.50382
CGP	3	0.00098	0.9896	1.6427	0.00367	0.96016	3.39345
CGP	4	0.00087	0.98965	1.66509	0.00322	0.96041	2.9405
CGP	5	0.00097	0.9896	1.5636	0.00292	0.96056	2.81855
CGP	6	0.0006	0.98979	1.21669	0.00433	0.95981	3.25599
CGP	7	0.00071	0.98974	1.37533	0.00312	0.96046	3.21892
CGP	8	0.00063	0.98978	1.37241	0.00311	0.96106	3.50654
CGP	9	0.00042	0.98989	1.12182	0.00202	0.96005	2.81571
CGP	10	0.00042	0.98989	1.05684	0.00468	0.96047	3.68279
CGP	11	0.00047	0.98986	1.07859	0.00388	0.96006	3.24279
CGP	13	0.00057	0.98981	1.25598	0.00453	0.95961	3.80826
CGP	9	0.00058	0.9898	1.26965	0.00392	0.95969	2.97969