Table 3.

Characteristic parameters of the ANN-MLP model.

Neuron		1	2	3	4	5	6	7	8	9	10	11	12	13	14	15
First hidden layer	wi	-3.8348	5.4522	3.1679	5.1276	5.2126	4.8174	4.6505	5.0408	-3.4404	4.1241	-4.8222	3.1232	-3.7465	-3.0789	-5.3698
		-3.836	0.4011	4.3925	-1.7458	1.4754	2.451	2.7845	-1.9087	4.1949	3.5267	2.6375	-4.4152	3.9108	-4.275	0.1695
	b	5.4206	-4.5941	-3.8842	-3.0974	-2.3501	-1.5808	-0.691	0.1109	-0.7868	1.4991	-2.1142	3.1335	-3.8843	-4.7929	-5.4768
Second hidden layer	wi	0.082	0.3507	-0.1512	-0.0253	0.4294	-	-	-	-	-	-	-	-	-	-
		-0.5066	-0.4941	0.5051	0.1918	-0.0081	-	-	-	-	-	-	-	-	-	-
		0.6262	0.2748	0.7067	-0.0442	-0.4482	-	-	-	-	-	-	-	-	-	-
		-0.0889	-0.0442	0.0758	0.909	0.1287	-	-	-	-	-	-	-	-	-	-
		-0.0669	0.6242	-0.3838	0.5546	0.8486	-	-	-	-	-	-	-	-	-	-
		0.2699	-0.3457	-0.0041	-0.3334	0.6843	-	-	-	-	-	-	-	-	-	-
		-0.1206	-0.4081	0.6197	0.2019	-0.2584	-	-	-	-	-	-	-	-	-	-
		-0.4705	-0.0118	-0.5744	-0.2166	0.2288	-	-	-	-	-	-	-	-	-	-
		-0.3597	-0.3911	0.4739	0.4825	-0.197	-	-	-	-	-	-	-	-	-	-
		0.5149	0.0294	-0.4244	0.437	0.2985	-	-	-	-	-	-	-	-	-	-
		0.4447	0.302	0.4126	0.3153	-0.5391	-	-	-	-	-	-	-	-	-	-
		-0.2374	-0.6688	-0.1229	0.075	-0.4292	-	-	-	-	-	-	-	-	-	-
		-0.0538	-0.3377	-0.2207	0.3147	0.6927	-	-	-	-	-	-	-	-	-	-
		0.5354	0.1026	-0.0822	0.4257	-0.1948	-	-	-	-	-	-	-	-	-	-
		0.654	0.4846	-0.538	0.6364	-0.1201	-	-	-	-	-	-	-	-	-	-
	b	-1.6171	-0.9369	0.0292	0.4807	1.4711	-	-	-	-	-	-	-	-	-	-
Output layer	wl	0.1342	-0.4171	-	-	-	-	-	-	-	-	-	-	-	-	-
		-0.5398	-0.2115	-	-	-	-	-	-	-	-	-	-	-	-	-
		0.2912	0.3019	-	-	-	-	-	-	-	-	-	-	-	-	-
		0.0618	-0.0008	-	-	-	-	-	-	-	-	-	-	-	-	-
		0.6243	0.849	-	-	-	-	-	-	-	-	-	-	-	-	-
	b	-0.1918	-0.6996	-	-	-	-	-	-	-	-	-	-	-	-	-

w_i: weights between input and hidden layers.

w_l: weights between hidden and output layers.