Proceedings of the KOSOMBE Conference (대한의용생체공학회:학술대회논문집)
- Volume 1994 Issue 12
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- Pages.165-168
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- 1994
A Study on EMG Pattern Recognition using Time Delayed Counter-Propagation Neural Network
TDCPN을 이용한 EMG 신호의 패턴 인식에 관한 연구
- Jung, In-Kil (Dept. of Electronic Engineering, Inha Univ.) ;
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Kwon, Jang-Woo
(Dept. of Electronic Engineering, Inha Univ.)
;
- Jang, Young-Gun (Dept. of Electronic Engineering, Inha Univ.) ;
- Min, Hong-Ki (Dept. of, Information & Communication Engineering, Incheon Univ.) ;
- Hong, Seung-Hong (Dept. of Electronic Engineering, Inha Univ.)
- Published : 1994.12.03
Abstract
We proposed a new model of neural network, called Time Delay Counter-Propagation Neural network (TDCPN). This model is combined properly by the merits of Time Delay Neural Network (TDNN) structure and those of Counter - Propagation Neural network (CPN) learning rule, so that increase recognition rate but decrease total teaming time. And we use this model to simulate classification of EMG signals, and compare the recognition rate and teaming time with those of another neural network model. As a result of simulation, the proposed model is proved to be very effective.
Keywords