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Volumn 3681 LNAI, Issue , 2005, Pages 1-7

Multi-branch neural networks and its application to stock price prediction

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; COST ACCOUNTING; ECONOMICS; MARKETING; TIME SERIES ANALYSIS;

EID: 33745291962     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11552413_1     Document Type: Conference Paper
Times cited : (7)

References (11)
  • 1
    • 84986610539 scopus 로고
    • An intelligent forecasting system of stock price using neural network
    • N. Baba and M. Kozaki, "An intelligent forecasting system of stock price using neural network", Proceeding of IJCNN, Vol. 1, pp. 371-377, 1992.
    • (1992) Proceeding of IJCNN , vol.1 , pp. 371-377
    • Baba, N.1    Kozaki, M.2
  • 2
    • 0002434859 scopus 로고    scopus 로고
    • Non-linear financial time series forecasting - Application to the Bel 20 stock market index
    • A. Lendasse, E. De Bodt, V. Wertz and M. Verleysen, "Non-linear financial time series forecasting - Application to the Bel 20 stock market index", European Journal of Economic and Social Systems, Vol. 14, No. 1, pp. 81-91, 2000.
    • (2000) European Journal of Economic and Social Systems , vol.14 , Issue.1 , pp. 81-91
    • Lendasse, A.1    De Bodt, E.2    Wertz, V.3    Verleysen, M.4
  • 3
    • 0036079972 scopus 로고    scopus 로고
    • Utilization of soft computing techniques for constructing reliable decision support systems for dealing stocks
    • N. Baba, N. Inoue and Y. Yanjun, "Utilization of Soft Computing Techniques for Constructing Reliable Decision Support Systems for Dealing Stocks", Proceeding of IJCNN, pp. 2150-2155, 2002.
    • (2002) Proceeding of IJCNN , pp. 2150-2155
    • Baba, N.1    Inoue, N.2    Yanjun, Y.3
  • 4
    • 10944243766 scopus 로고    scopus 로고
    • Multi-branch structure and its localized property in layered neural networks
    • T. Yamashita, K. Hirasawa and J. Hu, "Multi-Branch Structure and its Localized Property in Layered Neural Networks", Proceeding of IJCNN, pp. 1039-1044, 2004.
    • (2004) Proceeding of IJCNN , pp. 1039-1044
    • Yamashita, T.1    Hirasawa, K.2    Hu, J.3
  • 5
    • 0034000787 scopus 로고    scopus 로고
    • Universal learning network and its application to chaos control
    • K. Hirasawa, X. Wang, J. Murata, J. Hu and C. Jin, "Universal learning network and its application to chaos control", Neural Networks, Vol. 13, pp. 239-253, 2000.
    • (2000) Neural Networks , vol.13 , pp. 239-253
    • Hirasawa, K.1    Wang, X.2    Murata, J.3    Hu, J.4    Jin, C.5
  • 7
    • 0000646059 scopus 로고
    • Learning internal representations by error propagation
    • The MIT Press
    • D. E. Rumelhart, G. E. Hinton and R. J. Williams, "Learning internal representations by error propagation", Parallel distributed processing, Vol. 1, The MIT Press, pp. 318-362, 1986.
    • (1986) Parallel Distributed Processing , vol.1 , pp. 318-362
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 8
  • 9
    • 0026116468 scopus 로고
    • Orthogonal least squares learning algorithm for radial basis function networks
    • S. Chen, C. F. N. Cowan and P. M. Grant, "Orthogonal Least Squares Learning Algorithm for Radial Basis Function Networks", IEEE Trans. Neural Networks, Vol. 2, No. 2, pp. 302-309, 1991.
    • (1991) IEEE Trans. Neural Networks , vol.2 , Issue.2 , pp. 302-309
    • Chen, S.1    Cowan, C.F.N.2    Grant, P.M.3
  • 10
    • 0012733376 scopus 로고
    • Connectionist learning procedure
    • ed. J. Carbonell, The MIT Press
    • G. E. Hinton, "Connectionist Learning Procedure", Machine Learning, ed. J. Carbonell, The MIT Press, 1990.
    • (1990) Machine Learning
    • Hinton, G.E.1
  • 11
    • 0000383868 scopus 로고
    • Parallel networks that learn to pronounce English text
    • Sejnowski, T. J. and C. R. Rosenberg, "Parallel networks that learn to pronounce English text", Complex Systems 1: pp. 145-168, 1987.
    • (1987) Complex Systems , vol.1 , pp. 145-168
    • Sejnowski, T.J.1    Rosenberg, C.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.