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Volumn 10, Issue 3, 1997, Pages 401-407

Non-parametric data selection for neural learning in non-stationary time series

Author keywords

[No Author keywords available]

Indexed keywords

FINANCE; FOURIER TRANSFORMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; TIME SERIES ANALYSIS;

EID: 0031127819     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(96)00108-6     Document Type: Article
Times cited : (14)

References (17)
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    • Statistical-ensemble theory of redundancy reduction and the duality between unsupervised and supervised neural learning
    • Deco G., Schürmann B. Statistical-ensemble theory of redundancy reduction and the duality between unsupervised and supervised neural learning. Physical Review E. 52(6):1995;6580-6587.
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  • 4
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    • Improving generalization by nonconvergent model selection methods
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    • Finnoff, W.1    Hergert, F.2    Zimmermann, H.G.3
  • 6
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    • Grassberger P. Finite sample corrections to entropy and dimension estimates. Physics Letters A. 128:1988;369.
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    • Grassberger, P.1
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    • A two-dimensional mapping with a strange attractor
    • Hénon M. A two-dimensional mapping with a strange attractor. Comm. Math. Phys. 50:1976;69.
    • (1976) Comm. Math. Phys. , vol.50 , pp. 69
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    • Fast learning in networks of locally-tuned processing units
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  • 10
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    • Neuro-fuzzy architectures and learning algorithms for financial analysis
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    • Neuneier, R., & Zimmermann, H.G. (1996). Neuro-Fuzzy Architectures and Learning Algorithms for Financial Analysis. In Proceedings of EUFIT'96, Vol. 3, pp. 2191-2195.
    • (1996) In Proceedings of EUFIT'96 , vol.3 , pp. 2191-2195
    • Neuneier, R.1    Zimmermann, H.G.2
  • 11
    • 0000938560 scopus 로고
    • Information theoretic test for nonlinearity in time series
    • Palus M., Albrecht V., Dvorák I. Information theoretic test for nonlinearity in time series. Physics Letters A. 175:1993;203-209.
    • (1993) Physics Letters a , vol.175 , pp. 203-209
    • Palus, M.1    Albrecht, V.2    Dvorák, I.3
  • 12
    • 4243440738 scopus 로고
    • Testing for nonlinearity using redundancies: Quantitative and qualitative aspects
    • Palus M. Testing for nonlinearity using redundancies: quantitative and qualitative aspects. Physica D. 80:1995;186-205.
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    • Fuzzy identification of systems and its applications to modelling and control
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    • Takagi, T., & Sugeno, M. (1985). Fuzzy identification of systems and its applications to modelling and control. In IEEE Trans. on Syst., Man and Cybernetics, 1, (Vol. 15) pp. 116-132.
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    • Testing for nonlinearity in time series: The method of surrogate data
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    • Network structuring and training using rule-based knowledge
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.