Title :
The Sound Recognition of Artillery Projectile Shape Based on Least Squares Fuzzy Support Vector Machine
Author :
Songyun, Guo ; Yi, Wang ; Yaohui, Zhu
Author_Institution :
Dept. of Basic Courses, Shenyang Artillery Acad., Shenyang, China
Abstract :
Least squares fuzzy support vector machine is proposed based on the theory of fuzzy support vector classification. Based on the theory of ballistic shock wave, the sound identification of artillery projectile is achieved by training and testing to the two samples data of 130mm and 152mm artillery projectile shock wave.
Keywords :
acoustic signal processing; ballistics; fuzzy set theory; least squares approximations; military computing; projectiles; shock waves; signal classification; support vector machines; weapons; artillery projectile shape; artillery projectile shock wave; ballistic shock wave; fuzzy support vector classification; least squares fuzzy support vector machine; sound identification; sound recognition; Machine learning; Projectiles; Shape; Shock waves; Support vector machine classification; Training; least squares fuzzy support vector machine; shock wave; sound recognition;
Conference_Titel :
Intelligence Science and Information Engineering (ISIE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4577-0960-9
Electronic_ISBN :
978-0-7695-4480-9
DOI :
10.1109/ISIE.2011.101
