Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2001.07c
- /
- Pages.1484-1486
- /
- 2001
Underwater Object Recognition Independent of Translation using Ultrasonic Sensor Fabricated with 3-3 type Piezoelectric Composites
3-3형 복합압전체 초음파센서의 수중 물체 변위에 무관한 물체인식 특성
- Cho, Hyun-Chul (Kyungbuk College) ;
- Lee, Kee-Seong (Honglk University)
- Published : 2001.07.18
Abstract
In this study, The underwater object recognition using ultrasonic sensor fabricated with porous PZT-Polymer 3-3 type composites and invariant moment vector and SOFM(Self Organizing Feature Map) neural networks are presented. The recognition rates for the training data and the testing data were 98% and 94%, respectively.
Keywords