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Volumn 2, Issue , 2005, Pages 809-814

Neural network model for time series prediction by reinforcement learning

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; ERROR ANALYSIS; LEARNING ALGORITHMS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; TIME SERIES ANALYSIS;

EID: 33745955143     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2005.1555956     Document Type: Conference Paper
Times cited : (21)

References (17)
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    • Chaotic time series Part I: Estimation of some invariant properties in state space
    • D.Kugiumtzis, B. Lillekjendlie, and N. Christophersen, "Chaotic time series Part I: Estimation of some invariant properties in state space", Modeling, Identification and Control, vol. 15, no. 4, pp. 205-224, 1994.
    • (1994) Modeling, Identification and Control , vol.15 , Issue.4 , pp. 205-224
    • Kugiumtzis, D.1    Lillekjendlie, B.2    Christophersen, N.3
  • 6
    • 0000779360 scopus 로고
    • Detecting strange attractors in turbulence
    • F. Takens, "Detecting Strange Attractors in Turbulence," Dynamical Systems and Turbulence, pp. 366-381, 1981.
    • (1981) Dynamical Systems and Turbulence , pp. 366-381
    • Takens, F.1
  • 8
    • 33646981873 scopus 로고
    • Characterization of strange attractors
    • P. Grassberger and I. Procaccia, "Characterization of strange attractors." Physical Review Letters, vol. 50, pp. 346-349, 1983.
    • (1983) Physical Review Letters , vol.50 , pp. 346-349
    • Grassberger, P.1    Procaccia, I.2
  • 9
    • 40749093037 scopus 로고
    • Measuring the strangeness of strange attractors
    • P. Grassberger and I. Procaccia, "Measuring the strangeness of strange attractors," Physica D, vol. 9, pp. 189-208, 1983.
    • (1983) Physica D , vol.9 , pp. 189-208
    • Grassberger, P.1    Procaccia, I.2
  • 10
    • 14944355075 scopus 로고    scopus 로고
    • Determining the input dimension of a neural network for nonlinear time series prediction
    • June
    • S. Zhang, H. X. Liu, D. T. Gao, and S. D. Du, "Determining the input dimension of a neural network for nonlinear time series prediction," Chinese Physics, vol. 12, no. 6, pp. 594-598, June 2003.
    • (2003) Chinese Physics , vol.12 , Issue.6 , pp. 594-598
    • Zhang, S.1    Liu, H.X.2    Gao, D.T.3    Du, S.D.4
  • 11
    • 41349096005 scopus 로고    scopus 로고
    • False neighbors and false strands: A reliable minimum embedding dimension algorithm
    • 1-18, August
    • M. B. Kennel and H. D. I. Abarbanel, "False neighbors and false strands: A reliable minimum embedding dimension algorithm," Physical Review E, vol. 66, pp. 026209/1-18, August 2002.
    • (2002) Physical Review E , vol.66 , pp. 026209
    • Kennel, M.B.1    Abarbanel, H.D.I.2
  • 14
    • 34548696055 scopus 로고
    • Independent coordinates for strange attractors from mutual information
    • A. M. Fraser and H. L. Swinney, "Independent Coordinates for Strange Attractors from Mutual Information," Physical Review A, vol. 33, no. 2, pp. 1134-1140, 1986.
    • (1986) Physical Review A , vol.33 , Issue.2 , pp. 1134-1140
    • Fraser, A.M.1    Swinney, H.L.2
  • 17
    • 33745942622 scopus 로고    scopus 로고
    • [Online]
    • Sunspot Index Data Center. [Online] http://sidc.oma.be/index.php3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.