Table 2.

Optimal classification accuracies for each analysis. Values are presented as mean±standard deviation and represent classification accuracy over twenty iterations at the specified number of hidden nodes. UES = upper esophageal sphincter.

Parameters	Hidden nodes	Normal (%)	Disordered (%)	Total (%)
3-dimensional	640	90.62±2.71	82.79±3.29	86.71±1.47
2-dimensional	580	87.57±1.57	79.15±2.41	83.36±1.42
3-dimensional + other	620	97.43±0.59	96.54±0.91	96.99±0.51
2-dimensional + other	640	96.27±2.03	96.37±0.66	96.32±1.05
3-D velopharynx	600	64.90±8.00	66.43±6.43	65.66±2.48
2-D velopharynx	660	70.69±9.59	60.99±5.82	65.84±3.46
3-D hypopharynx	540	71.41±5.18	62.33±4.27	66.87±1.74
2-D hypopharynx	620	68.87±7.44	64.43±6.77	66.65±2.36
3-D pre-opening peak	600	64.00±6.47	68.94±6.68	66.47±1.63
2-D pre-UES peak	580	64.65±6.50	63.29±6.80	63.97±2.30
3-D post-closure peak	660	73.50±7.56	62.29±6.91	67.90±8.67
2-D post-closure peak	660	65.83±6.77	65.05±6.49	65.44±2.02
3-D UES	580	64.72±3.78	65.40±3.70	65.06±2.03
2-D UES	620	62.98±5.62	65.99±5.05	64.49±2.70