Table 17.

Classification results of the SVM-enabled intelligent genetic algorithmic model when it chooses 15 features in each parameter setting.

Ultrasound Sensing System Setting Detail	The Best Feature Sets	Accuracy Rate (%)
Parameter Setting-1	F4, F5, F105, F3, F11, F40, F6, F1, F2, F7, F10, F13, F9, F12, F8	99.27
Parameter Setting-2	F4, F29, F9, F22, F1, F12, F8, F37, F5, F32, F48, F2, F6, F10, F7	98.94
Parameter Setting-3	F4, F107, F5, F37, F1, F2, F3, F6, F113, F9, F10, F15, F11, F21, F16	98.38
Parameter Setting-4	F4, F15, F5, F17, F123, F109, F1, F104, F106, F2, F3, F6, F7, F9, F11	96.31
Mean		98.22