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Volumn 3, Issue 5, 2006, Pages 885-893

Using sinusoidal modulated weights improve feed-forward neural network performances in classification and functional approximation problems

Author keywords

Adaptive system; Learning law; Neural network; Non linear modelling; Sine Net

Indexed keywords

ADAPTIVE ALGORITHMS; APPROXIMATION THEORY; LEARNING SYSTEMS; MATHEMATICAL MODELS; NUMERICAL METHODS;

EID: 33744533996     PISSN: 17900832     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (16)

References (7)
  • 1
    • 0000583248 scopus 로고
    • Probabilistic Interpretation of Feedforward Classification Network Outputs, with Relationships to Statistical Pattern Recognition
    • F. Fogelman-Soulié, and J. Hérault (eds.), Springer-Verlag, New York 1989
    • Bridle J.S. (1989), Probabilistic Interpretation of Feedforward Classification Network Outputs, with Relationships to Statistical Pattern Recognition, in F. Fogelman-Soulié, and J. Hérault (eds.), Neurocomputing: Algorithms, Architectures, Springer-Verlag, New York. 1989.
    • (1989) Neurocomputing: Algorithms, Architectures
    • Bridle, J.S.1
  • 2
    • 0034223894 scopus 로고    scopus 로고
    • Feedforward networks in financial predictions: The future that modifies the present
    • Agosto, Blackwell, Oxford UK. 2000
    • M. Buscema and P. Sacco (2000) Feedforward networks in financial predictions: the future that modifies the present, in Expert Systems, Vol. 17(3), Agosto, Blackwell, Oxford UK. Pp. 149-170. 2000.
    • (2000) Expert Systems , vol.17 , Issue.3 , pp. 149-170
    • Buscema, M.1    Sacco, P.2
  • 3
    • 0000259511 scopus 로고    scopus 로고
    • Approximate statistical test for comparing supervised classification learning algorithms
    • Dietterich, T. (1998) Approximate statistical test for comparing supervised classification learning algorithms, Neural Comput. Vol. 10, 1895-1923.
    • (1998) Neural Comput. , vol.10 , pp. 1895-1923
    • Dietterich, T.1
  • 4
    • 0001942829 scopus 로고
    • Neural Networks and the Bias/Variance Dilemma
    • 1992
    • Geman S., Bienenstock E. and Doursat R., (1992), Neural Networks and the Bias/Variance Dilemma, Neural Computation, 4, 1-58, 1992.
    • (1992) Neural Computation , vol.4 , pp. 1-58
    • Geman, S.1    Bienenstock, E.2    Doursat, R.3
  • 5
    • 0002039637 scopus 로고
    • "Cancer diagnosis via linear programming"
    • September 1990
    • Mangasarian O.L. and Wolberg W.H., (1990), "Cancer diagnosis via linear programming", SIAM News, Volume 23, Number 5, September 1990, pp 1 & 18.
    • (1990) SIAM News , vol.23 , Issue.5 , pp. 1-18
    • Mangasarian, O.L.1    Wolberg, W.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.