메뉴 건너뛰기




Volumn 82, Issue 5, 2002, Pages 775-789

Nonlinear prediction of chaotic signals using a normalised radial basis function network

Author keywords

Chaotic signals; Dynamical reconstruction; Forward backward prediction; Normalised radial basis function networks; Prediction; Recursive prediction

Indexed keywords

APPROXIMATION THEORY; CHAOS THEORY; DATA STRUCTURES; DIGITAL SIGNAL PROCESSING; GAUSSIAN NOISE (ELECTRONIC); SIGNAL FILTERING AND PREDICTION; WHITE NOISE;

EID: 0036566461     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-1684(02)00155-X     Document Type: Article
Times cited : (61)

References (33)
  • 3
    • 0000213606 scopus 로고
    • On the functional approximation with normalized Gaussian units
    • (1994) Neural Comput. , vol.6 , pp. 314-333
    • Benaim, M.1
  • 6
  • 22
    • 0025490985 scopus 로고
    • Networks for approximation and learning
    • September
    • (1990) Proc. IEEE , vol.78 , pp. 1481-1497
    • Poggio, T.1
  • 30
    • 0000779360 scopus 로고
    • On the numerical determination of the dimension of an attractor
    • D. Rand, L.S. Yong (Eds.), Dynamical Systems and Turbulence, Warwick, Springer, Berlin
    • (1980) Lecture Notes in Mathematics , vol.898
    • Takens, F.1
  • 33


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.