메뉴 건너뛰기




Volumn 34, Issue 10, 2003, Pages 64-75

Time series prediction by a neural network model based on bi-directional computation style: A study on generalization performance with the computer-generated time series "Data Set D"

Author keywords

Bi directional computation style; Bi directional neural network model; Generalization performance; Time series prediction

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER SIMULATION; MATHEMATICAL MODELS; REGRESSION ANALYSIS; TIME SERIES ANALYSIS;

EID: 0041418027     PISSN: 08821666     EISSN: None     Source Type: Journal    
DOI: 10.1002/scj.10264     Document Type: Article
Times cited : (5)

References (15)
  • 3
    • 0000358422 scopus 로고
    • Time series prediction by using a connectionist network with internal delay lines
    • In: Weigend AS, Gershenfeld NA (editors); Addison-Wesley
    • Wan EA. Time series prediction by using a connectionist network with internal delay lines. In: Weigend AS, Gershenfeld NA (editors). Time series prediction: Forecasting the future and understanding the past. Addison-Wesley; 1993. p 195-217.
    • (1993) Time Series Prediction: Forecasting the Future and Understanding the Past , pp. 195-217
    • Wan, E.A.1
  • 4
    • 0002291616 scopus 로고
    • Neural net architectures for temporal sequence processing
    • In: Weigland AS, Gershenfeld NA (editors); Addison-Wesley
    • Mozer MC. Neural net architectures for temporal sequence processing. In: Weigland AS, Gershenfeld NA (editors). Time series prediction: Forecasting the future and understanding the past. Addison-Wesley; 1993, p 243-264.
    • (1993) Time Series Prediction: Forecasting the Future and Understanding the Past , pp. 243-264
    • Mozer, M.C.1
  • 6
    • 0034806831 scopus 로고    scopus 로고
    • Bi-directional computing architecture for time series prediction
    • Wakuya H, Zurada JM. Bi-directional computing architecture for time series prediction. Neural Networks 2001:14:1307-1321.
    • (2001) Neural Networks , vol.14 , pp. 1307-1321
    • Wakuya, H.1    Zurada, J.M.2
  • 8
    • 0042597205 scopus 로고    scopus 로고
    • Time series prediction by a bi-directional computing architecture using future-past information integration: Application to the sunspots number prediction
    • Tech Rep IEICE; NC99-107
    • Wakuya H, Zurada JM. Time series prediction by a bi-directional computing architecture using future-past information integration: Application to the sunspots number prediction. Tech Rep IEICE 2000;NC99-107.
    • (2000)
    • Wakuya, H.1    Zurada, J.M.2
  • 9
    • 0033713599 scopus 로고    scopus 로고
    • Time series prediction by a neural network model based on the bi-directional computation style
    • Como, Italy
    • Wakuya H, Zurada JM. Time series prediction by a neural network model based on the bi-directional computation style. Proc IEEE-INNS-ENNS Int Joint Conf on Neural Networks, No. TE3-1, p II-225-230, Como, Italy, 2000.
    • (2000) Proc IEEE-INNS-ENNS Int Joint Conf on Neural Networks
    • Wakuya, H.1    Zurada, J.M.2
  • 10
    • 0004057067 scopus 로고    scopus 로고
    • Bi-directionalization of neural computing architecture for time series prediction: Application to computer generated series 'data set D
    • Iizuka, Japan
    • Wakuya H, Shida K, Zurada JM. Bi-directionalization of neural computing architecture for time series prediction: Application to Computer Generated Series 'Data Set D'. Proc 6th Int Conf on Soft Computing, No. C-4-2, p 660-667, Iizuka, Japan, 2000.
    • (2000) Proc 6th Int Conf on Soft Computing , Issue.C-4-2 , pp. 660-667
    • Wakuya, H.1    Shida, K.2    Zurada, J.M.3
  • 11
    • 0003421374 scopus 로고
    • A bi-directional neural network model for generation and recognition of temporal patterns
    • Wakuya H, Futami R, Hoshimiya N. A bi-directional neural network model for generation and recognition of temporal patterns. IEICE Trans Inf Syst (Jpn Ed) 1994;J77-D-II:236-243.
    • (1994) IEICE Trans Inf Syst (Jpn Ed) , vol.J77-D-II , pp. 236-243
    • Wakuya, H.1    Futami, R.2    Hoshimiya, N.3
  • 12
    • 0001202594 scopus 로고
    • A learning algorithm for continually running fully recurrent neural networks
    • Williams RJ, Zipser D. A learning algorithm for continually running fully recurrent neural networks. Neural Computation 1989;1:270-280.
    • (1989) Neural Computation , vol.1 , pp. 270-280
    • Williams, R.J.1    Zipser, D.2
  • 14
    • 0004038858 scopus 로고    scopus 로고
    • Bi-directionalization of neural computing architecture for time series prediction. II: Application to Mackey-Glass chaotic time series
    • Sendai, Japan
    • Wakuya H, Shida K, Zurada JM. Bi-directionalization of neural computing architecture for time series prediction. II: Application to Mackey-Glass chaotic time series. Proc Int Conf on Dynamical Aspects in Complex Systems from Cells to Brain, No. PS58, p 43-44, Sendai, Japan, 2000.
    • (2000) Proc Int Conf on Dynamical Aspects in Complex Systems from Cells to Brain , Issue.No. PS58 , pp. 43-44
    • Wakuya, H.1    Shida, K.2    Zurada, J.M.3
  • 15
    • 0043098028 scopus 로고
    • Development process of temporal pattern transformations in bi-directional neural network models
    • Tech Rep IEICE; NC93-31
    • Wakuya H, Futami R, Hoshimiya N. Development process of temporal pattern transformations in bi-directional neural network models. Tech Rep IEICE 1993;NC93-31.
    • (1993)
    • Wakuya, H.1    Futami, R.2    Hoshimiya, N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.