대한의용생체공학회:학술대회논문집 (Proceedings of the KOSOMBE Conference)
- 대한의용생체공학회 1995년도 춘계학술대회
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- Pages.265-269
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- 1995
카오스 특성을 갖는 뇌파신호의 예측을 위한 신경회로망 설계에 관한 연구
A Study on Design of Neural Network for the Prediction of EEG with Chaotic Characteristics
- Shin, Chang-Yong (Dept. of Electrical Engineering, Yonsei University) ;
- Kim, Taek-Soo (Dept. of Electrical Engineering, Yonsei University) ;
- Park, Sang-Hui (Dept. of Electrical Engineering, Yonsei University)
- 발행 : 1995.05.12
초록
In this study, we present a training method of radial basis function networks based on recursive modified Gram-Schmidt algorithm for single step prediction of chaotic time series. With single step predictions of Mackey-Glass time series and alpha-rhythm EEG which has chaotic characteristics, the radial basis function network trained by this method is compared with one trained by a classical non-recursive method and the radial basis function model proposed by X.D. He and A. Lapedes. The results show the effectiveness of the training method.
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