Table 15.

Unknown parameters in ENN structure obtained for the optimization of fitness function corresponding to different values of specific heat in problem 2.

Cases		$\mathit{\epsilon }=\mathbf{0.1}$			$\mathit{\epsilon }=\mathbf{0.3}$			$\mathit{\epsilon }=\mathbf{0.5}$			$\mathit{\epsilon }=\mathbf{0.7}$			$\mathit{\epsilon }=\mathbf{0.9}$
	${\mathit{\alpha }}_{\mathit{i}}$	${\mathit{\xi }}_{\mathit{i}}$	${\mathit{\beta }}_{\mathit{i}}$	${\mathit{\alpha }}_{\mathit{i}}$	${\mathit{\xi }}_{\mathit{i}}$	${\mathit{\beta }}_{\mathit{i}}$	${\mathit{\alpha }}_{\mathit{i}}$	${\mathit{\xi }}_{\mathit{i}}$	${\mathit{\beta }}_{\mathit{i}}$	${\mathit{\alpha }}_{\mathit{i}}$	${\mathit{\xi }}_{\mathit{i}}$	${\mathit{\beta }}_{\mathit{i}}$	${\mathit{\alpha }}_{\mathit{i}}$	${\mathit{\xi }}_{\mathit{i}}$	${\mathit{\beta }}_{\mathit{i}}$
1	−3.29313			−1.33367			0.08412			0.92053			0.41421
2	1.63245	−1.90667	3.37402	−3.08059	0.38598	−0.51162	−0.04137	1.96789	−4.08357	−1.32074	−0.06144	2.25837	0.75222	0.46659	−2.18731
3	−4.99414	0.11981	1.54312	−3.34379	−0.02204	0.84629	0.21703	0.33095	−1.88138	−4.81096	−0.10272	3.54709	0.51945	0.07941	−1.94952
4	0.90267	0.40497	2.22288	1.25799	0.19256	1.11115	−0.24400	0.20762	0.46318	−0.60085	0.10777	−3.81037	−1.52521	0.18720	−0.17280
5	−1.26927	−0.24044	−0.08419	3.41251	0.06195	1.05561	−1.79043	0.22548	0.47965	1.87630	0.00307	−0.03366	2.38286	0.19904	1.03043
6	−1.34392	−0.37639	0.12319	1.42534	0.19443	−0.06168	1.09474	0.29704	0.41810	−1.75045	−0.22331	0.66318	0.10556	−0.28989	−0.64407
7	−0.41808	−0.32367	4.95432	0.98631	0.19321	−4.87757	1.07912	−0.23851	−2.27322	1.05785	−0.21146	−2.73285	0.02419	0.28327	−3.36610