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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems 제14권 제3호
- 발행연도
- 2015.9
- 수록면
- 312 - 317 (6page)
이용수
초록· 키워드
오류제보하기
The dynamic system approach in time series has been used in many real problems. Based on Taken’s embedding theorem, we can build the predictive function where input is the time delay coordinates vector which consists of the lagged values of the observed series and output is the future values of the observed series. Although the time delay coordinates vector from multivariate time series brings more information than the one from univariate time series, it can exhibit statistical redundancy which disturbs the performance of the prediction function. We apply dimension reduction techniques to solve this problem and analyze the effect of this approach for prediction. Our experiment uses delayed Lorenz series; least squares support vector regression approximates the predictive function. The result shows that linearly preserving projection improves the prediction performance.
목차
ABSTRACT
1. INTRODUCTION
2. DYNAMIC SYSTEM APPROACH IN TIME SERIES
3. DIMENSION REDUCTION
4. EXPERIMENT WITH DELAYED LORENZ SERIES
5. CONCLUSION
REFERENCES
참고문헌 (35)
참고문헌 신청
[학술지(정기간행물)] - Adeli, H. / 2008 / A spatio-temporal wavelet-chaos methodology for EEG-based diagnosis of Alzheimer’s disease / Neuroscience Letters 444 (2) : 190 ~ 194
[학술지(정기간행물)] - Barnard, J. P. / 2001 / Embedding of multidimensional time-dependent observations / Physical Review E 64 (4) : 046201 ~
[단행본] - Belkin, M. / 2002 / Advance in Neural Information Processing Systems / MIT Press : 585 ~ 591
[학술지(정기간행물)] - Cao, L. / 1998 / Dynamics from multivariate time series / Physica D : Nonlinear Phenomena 121 (1) : 75 ~ 88
[학술지(정기간행물)] - Chen, D / 2013 / Prediction of multivariate chaotic time series via radial basis function neural network / Complexity 18 (4) : 55 ~ 66
[학술지(정기간행물)] - Barnard, J. P. / 2001 / Embedding of multidimensional time-dependent observations / Physical Review E 64 (4) : 046201 ~
[단행본] - Belkin, M. / 2002 / Advance in Neural Information Processing Systems / MIT Press : 585 ~ 591
[학술지(정기간행물)] - Cao, L. / 1998 / Dynamics from multivariate time series / Physica D : Nonlinear Phenomena 121 (1) : 75 ~ 88
[학술지(정기간행물)] - Chen, D / 2013 / Prediction of multivariate chaotic time series via radial basis function neural network / Complexity 18 (4) : 55 ~ 66
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