Table 4.

Results from of testing and training of ICA–ANN model

No	Model	Best fitting line in testing phase		Best fitting line in training phase		Results
		Equation	R 2	Equation	R 2	MSE test	MSE train	Best Cost
1	50GEN_2IN	y = 0.4714x − 0.1684	0.5487	y = 0.7753x − 0.0179	0.8043	0.1892	0.0482	0.0482
2	50GEN_3IN	y = 0.1945x + 0.1017	0.3751	y = 0.3443x + 0.174	0.5533	0.2709	0.2006	0.2006
3	50GEN_4IN	y = 0.5445x − 0.2061	0.4666	y = 0.9307x − 0.0289	0.7533	0.2332	0.0704	0.0704
4	100GEN_2IN	0.4734x − 0.1947	0.5391	y = 0.4734x − 0.1947	0.5391	0.2004	0.0452	0.0452
5	100GEN_3IN	y = 0.4282x − 0.1636	0.4646	y = 0.7518x − 0.0277	0.7866	0.2147	0.0523	0.0523
6	100GEN_4IN	y = 0.4578x − 0.1857	0.5922	y = 0.8676x − 0.0221	0.8752	0.1861	0.0303	0.0303
7	150GEN_2IN	y = 0.1746x + 0.0918	0.3745	y = 0.3095x + 0.163	0.5768	0.2760	0.2027	0.2027
8	150GEN_3IN	y = 0.7651x + 0.0221	0.21	y = 1.4463x + 0.2862	0.5108	0.8106	0.5836	0.5836
9	150GEN_4IN	y = 0.4931x − 0.1985	0.5176	y = 0.8187x − 0.0323	0.8231	0.2072	0.0430	0.0430
10	200GEN_2IN	y = 0.1761x + 0.0998	0.3862	y = 0.2953x + 0.1641	0.6067	0.2764	0.2059	0.2059
11	200GEN_3IN	y = 0.4827x − 0.1489	0.5297	y = 0.7894x − 0.0063	0.8273	0.1882	0.0430	0.0430
12	200GEN_4IN	y = 0.1397x + 0.0778	0.3724	y = 0.2625x + 0.1457	0.5857	0.2878	0.2084	0.2084
13	250GEN_2IN	y = 0.0752x + 0.091	0.4603	y = 0.1283x + 0.123	0.762	0.3230	0.2487	0.2487
14	250GEN_3IN	y = 0.2227x + 0.1323	0.3683	y = 0.3235x + 0.1799	0.5516	0.2711	0.2097	0.2097
15	250GEN_4IN	y = 0.7337x − 0.0618	0.8019	y = 0.8877x − 0.0042	0.9045	0.1572	0.0234	0.0234