Table 6.

Optimization parameters for GA-MIV-BP neural network SBP and DBP models for different subjects

Subjects	GA-MIV-BP SBP models			GA-MIV-BP DBP models
	a	$\nabla$s	RMSE	b	$\nabla$d	RMSE
Test_1	0.9801	3.3568	3.1190	0.8810	10.0000	2.6199
Test_2	0.9549	10.0000	5.0780	0.9386	6.4728	0.1853
Test_3	0.8946	7.1138	1.8702	0.9410	5.0112	0.3698
Test_4	0.8956	10.0000	1.5383	0.8527	8.9480	1.6903
Test_5	0.9057	10.0000	1.1542	0.8611	10.0000	0.5986
Test_6	1.0000	$-$0.0277	1.8653	0.8796	8.1677	0.1627
Test_7	0.8975	10.0000	0.8816	0.8217	10.0000	0.7640
Test_8	0.9569	2.8530	0.5290	0.8289	7.1112	0.6577
Test_9	0.9648	3.8192	1.5532	1.0000	0.5465	2.1066
Test_10	0.9331	5.6702	3.5549	0.8397	10.0000	3.8039