한국지능시스템학회:학술대회논문집 (Proceedings of the Korean Institute of Intelligent Systems Conference)
- 한국퍼지및지능시스템학회 1996년도 추계학술대회 학술발표 논문집
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- Pages.294-297
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- 1996
카오스 특징 추출에 의한 시계열 신호의 패턴인식
Pattern recognition of time series data based on the chaotic feature extracrtion
초록
This paper proposes the method to recognize of time series data based on the chaotic feature extraction. Features extract from time series data using the chaotic time series data analysis and the pattern recognition process is using a neural network classifier. In experiment, EEG(electroencephalograph) signals are extracted features by correlation dimension and Lyapunov experiments, and these features are classified by multilayer perceptron neural networks. Proposed chaotic feature extraction enhances recognition results from chaotic time series data.
키워드