Artificial Intelligence-Based Surface Roughness Estimation Modelling for Milling of AA6061 Alloy

Table 3

Statistical data of the surface roughness for five learning algorithms.

Learning algorithm	Number of neurons	Training data			Testing data
		MEP	RMSE	R^2	MEP	RMSE	R^2
BFGS	3-5-1	39.9963	0.1723	0.9063	20.3945	0.1601	0.9126
BFGS	3-6-1	23.7686	0.1082	0.9718	18.5676	0.1269	0.9549
BFGS	3-7-1	36.6470	0.1660	0.9150	17.7115	0.1613	0.9112
BFGS	3-8-1	56.2828	0.2222	0.8597	18.6268	0.1687	0.9091
BFGS	3-9-1	96.3075	0.3952	0.4957	14.5044	0.2214	0.8216
BFGS	3-10-1	45.7621	0.2016	0.8702	19.5055	0.1570	0.9192
BFGS	3-11-1	51.6061	0.1912	0.9214	18.4157	0.1140	0.9675
BFGS	3-12-1	37.3415	0.1381	0.9580	17.5858	0.1398	0.9484
BFGS	3-13-1	52.6299	0.2257	0.8320	16.2210	0.1623	0.9106
BFGS	3-14-1	39.8147	0.1767	0.9225	13.8113	0.0949	0.9769
BFGS	3-15-1	70.1297	0.2878	0.7236	18.5301	0.1582	0.9269
CGP	3-5-1	15.8842	0.1224	0.9626	26.1493	0.1704	0.9185
CGP	3-6-1	45.1115	0.1870	0.9055	20.8723	0.1533	0.9301
CGP	3-7-1	43.4061	0.1920	0.8831	17.1494	0.1627	0.9062
CGP	3-8-1	14.4418	0.0774	0.9865	11.4152	0.1181	0.9561
CGP	3-9-1	43.0063	0.1869	0.8865	18.7517	0.1680	0.9006
CGP	3-10-1	25.4985	0.1421	0.9392	18.7540	0.1430	0.9295
CGP	3-11-1	44.2420	0.1743	0.9214	13.0006	0.1105	0.9648
CGP	3-12-1	17.2771	0.0891	0.9798	27.0952	0.1632	0.9258
CGP	3-13-1	52.0152	0.2299	0.8366	19.9879	0.1686	0.9101
CGP	3-14-1	40.0879	0.1699	0.9141	15.0850	0.1258	0.9477
CGP	3-15-1	55.6072	0.2560	0.9141	13.8909	0.1257	0.9510
LM	3-5-1	25.7917	0.1574	0.9116	20.3034	0.1771	0.8743
LM	3-6-1	42.0235	0.1680	0.9248	18.9305	0.1441	0.9376
LM	3-7-1	47.3599	0.1850	0.9405	19.7645	0.1340	0.9559
LM	3-8-1	44.2204	0.1779	0.9036	16.7346	0.1651	0.9004
LM	3-9-1	40.1816	0.1958	0.8686	19.1302	0.2110	0.8236
LM	3-10-1	44.7952	0.1808	0.9058	18.5216	0.1408	0.9396
LM	3-11-1	36.9839	0.1641	0.9358	17.5039	0.1327	0.9504
LM	3-12-1	36.5893	0.1719	0.9201	16.3433	0.1510	0.9253
LM	3-13-1	15.5680	0.1282	0.9548	19.1682	0.1374	0.9349
LM	3-14-1	24.8890	0.1262	0.9553	14.4378	0.1511	0.9153
LM	3-15-1	39.9324	0.1927	0.8815	13.8734	0.1569	0.9140
RP	3-5-1	47.2390	0.1920	0.8928	20.2159	0.1555	0.9248
RP	3-6-1	22.0402	0.1345	0.9656	16.4952	0.1474	0.9459
RP	3-7-1	24.5939	0.1311	0.9481	19.1965	0.1719	0.8795
RP	3-8-1	18.1270	0.0872	0.9793	12.6631	0.1096	0.9606
RP	3-9-1	34.5495	0.1694	0.8997	19.2169	0.1801	0.8706
RP	3-10-1	28.3791	0.1257	0.9559	17.5293	0.1454	0.9268
RP	3-11-1	46.4756	0.1807	0.9132	18.1761	0.1075	0.9695
RP	3-12-1	44.2982	0.1787	0.8965	19.4537	0.1660	0.9042
RP	3-13-1	36.9307	0.1538	0.9300	16.7184	0.1242	0.9507
RP	3-14-1	36.4954	0.1594	0.9404	17.3533	0.1189	0.9628
RP	3-15-1	34.3147	0.1602	0.9175	19.9560	0.1697	0.8996
SCG	3-5-1	42.4115	0.1794	0.9010	19.9265	0.1498	0.9323
SCG	3-6-1	25.5442	0.1352	0.9449	17.6713	0.1528	0.9233
SCG	3-7-1	53.5186	0.2251	0.8338	19.1087	0.1567	0.9175
SCG	3-8-1	25.1891	0.1554	0.9233	18.2081	0.2035	0.8313
SCG	3-9-1	28.9926	0.1377	0.9424	19.0380	0.1651	0.9062
SCG	3-10-1	50.1422	0.1881	0.9077	15.7635	0.1403	0.9375
SCG	3-11-1	16.8713	0.1044	0.9724	19.5369	0.1363	0.9319
SCG	3-12-1	45.8239	0.1691	0.9324	17.4317	0.1059	0.9710
SCG	3-13-1	30.9181	0.1261	0.9588	17.8864	0.1417	0.9380
SCG	3-14-1	32.7777	0.1626	0.9221	15.7285	0.1464	0.9301
SCG	3-15-1	51.0586	0.2004	0.8974	11.2896	0.1076	0.9654