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Table 5 Classification accuracy results for NNRW classifier under different number of hidden neurons on eye event-related EEG data

From: Feature selection using angle modulated simulated Kalman filter for peak classification of EEG signals

Peak model	Result	No. of hidden neurons
Peak model	Result	100	200	300	400	500	600	700	800	900	1000	1100	1200
Dumpala	Train	5.15	30.1	43.61	53.39	60.26	66.51	71.27	75.55	78.63	80.86	82.96	84.54
	Test	1.09	15.77	24.83	31.75	38.09	42.12	45.31	48.17	49.37	51.46	52.9	53.87
Acir	Train	37.69	48.95	53.37	56.87	59.82	63.27	66.41	70.06	73.69	76.3	79.38	81.73
	Test	34.46	44.05	45.11	46.67	47.74	48.55	49.3	50.2	51.86	52.16	51.67	52.91
Liu	Train	35.61	48.54	54.83	60.38	65.41	69.09	71.94	73.99	75.52	77.18	78.62	80.16
	Test	29.18	38.76	41.4	42.97	45.25	46.34	48.07	47.94	48.85	48.19	48.57	48.91
Dingle	Train	0	6.19	19	31.13	41.89	49.91	57.07	61.96	68.14	71.39	75.12	77.22
	Test	0	1.55	6.48	15.97	21.97	25.81	32.34	34.78	38.31	40.13	43.65	45.26

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