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Volumn 46, Issue 8-9, 2003, Pages 1397-1411

The Dynamic Evolutionary Modeling of HODEs for Time Series Prediction

Author keywords

Differential equation; Genetic algorithm; Genetic programming; Time series

Indexed keywords

AUTOMATIC PROGRAMMING; CHAOS THEORY; COMPUTER SIMULATION; GENETIC ALGORITHMS; REGRESSION ANALYSIS; TIME SERIES ANALYSIS;

EID: 0344465028     PISSN: 08981221     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0898-1221(03)90228-8     Document Type: Article
Times cited : (7)

References (22)
  • 2
    • 0004117114 scopus 로고
    • (in Chinese), Beijing University of Science and Technology Press, Beijing
    • R.C. Gan, The Statistical Analysis of Dynamic Data (in Chinese), Beijing University of Science and Technology Press, Beijing, (1991).
    • (1991) The Statistical Analysis of Dynamic Data
    • Gan, R.C.1
  • 3
    • 0342404846 scopus 로고
    • On the order determination of ARIMA models
    • T. Ozaki, On the order determination of ARIMA models, Application Statistics 26 (3), 290-301, (1977).
    • (1977) Application Statistics , vol.26 , Issue.3 , pp. 290-301
    • Ozaki, T.1
  • 5
    • 84986765190 scopus 로고
    • The estimation and prediction of subset bilinear time series models with applications
    • M.M. Gabr and T.S. Rao, The estimation and prediction of subset bilinear time series models with applications, Journal of Time Series Analysis (2), 155-171, (1981).
    • (1981) Journal of Time Series Analysis , Issue.2 , pp. 155-171
    • Gabr, M.M.1    Rao, T.S.2
  • 12
    • 0030285428 scopus 로고    scopus 로고
    • Financial forecasting using genetic algorithms
    • S. Mahfoud and G. Mani, Financial forecasting using genetic algorithms, Applied Artificial Intelligence 10, 543-565, (1996).
    • (1996) Applied Artificial Intelligence , vol.10 , pp. 543-565
    • Mahfoud, S.1    Mani, G.2
  • 14
    • 0001247330 scopus 로고
    • A genetic learning algorithm for the analysis of complex data
    • N.H. Packard, A genetic learning algorithm for the analysis of complex data, Complex System 4 (5), 543-572, (1990).
    • (1990) Complex System , vol.4 , Issue.5 , pp. 543-572
    • Packard, N.H.1
  • 15
    • 0032095527 scopus 로고    scopus 로고
    • Making use of population information in evolutionary artificial neural networks
    • X. Yao and Y. Liu, Making use of population information in evolutionary artificial neural networks, IEEE Transactions on System, Man and Cybernetics, Part B 28 (3), 417-425, (1998).
    • (1998) IEEE Transactions on System, Man and Cybernetics, Part B , vol.28 , Issue.3 , pp. 417-425
    • Yao, X.1    Liu, Y.2
  • 16
    • 0001820524 scopus 로고
    • Two scientific application of genetic programming: Stack filters and nonlinear equation fitting to chaotic data
    • (Edited by K.E. Kinnear, Jr.), MIT Press
    • H. Oakley, Two scientific application of genetic programming: Stack filters and nonlinear equation fitting to chaotic data, In Advances in Genetic Programming, (Edited by K.E. Kinnear, Jr.), pp. 369-389, MIT Press, (1994).
    • (1994) Advances in Genetic Programming , pp. 369-389
    • Oakley, H.1
  • 18
    • 79959397548 scopus 로고    scopus 로고
    • Using genetic programming to predict financial data
    • (Edited by P. J. Angeline et al.), IEEE Press
    • H. Iba and T. Sasaki, Using genetic programming to predict financial data, In Proceedings of the Congress on Evolutionary Computation, Volume 1, (Edited by P. J. Angeline et al.), pp. 244-251, IEEE Press, (1999).
    • (1999) Proceedings of the Congress on Evolutionary Computation , vol.1 , pp. 244-251
    • Iba, H.1    Sasaki, T.2
  • 20
    • 0031143030 scopus 로고    scopus 로고
    • A new evolutionary systems for evolving artificial neural networks
    • X. Yao and Y. Liu, A new evolutionary systems for evolving artificial neural networks, IEEE Transactions on Neural Networks 8 (3), 694-713, (1997).
    • (1997) IEEE Transactions on Neural Networks , vol.8 , Issue.3 , pp. 694-713
    • Yao, X.1    Liu, Y.2
  • 21
    • 84901478283 scopus 로고    scopus 로고
    • Evolutionary and coevolutionary approaches to time series prediction using generalized multi-layer perceptrons
    • (Edited by P.J. Angeline et al), IEEE Press
    • H.A. Mayer and R. Schwaiger, Evolutionary and coevolutionary approaches to time series prediction using generalized multi-layer perceptrons, In Proceedings of the Congress on Evolutionary Computation, Volume 1, (Edited by P.J. Angeline et al), pp. 275-279, IEEE Press, (1999).
    • (1999) Proceedings of the Congress on Evolutionary Computation , vol.1 , pp. 275-279
    • Mayer, H.A.1    Schwaiger, R.2
  • 22


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.