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Volumn 4, Issue 4, 2005, Pages 295-299

Neural networks trained with the EEM algorithm: Tuning the smoothing parameter

Author keywords

Cost function; Entropy; Parzen; Smoothing parameter

Indexed keywords

LEARNING ALGORITHMS; LEARNING SYSTEMS; OPTIMIZATION; PROBABILITY DENSITY FUNCTION;

EID: 21844450579     PISSN: 11092777     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (6)

References (8)
  • 1
    • 0036647905 scopus 로고    scopus 로고
    • "An Error-Entropy Minimization Algorithm for Supervised Training of Nonlinear Adaptive Systems"
    • D. Erdogmus and J. Principe, "An Error-Entropy Minimization Algorithm for Supervised Training of Nonlinear Adaptive Systems", Trans. On Signal Processing, Vol. 50, No. 7, 2002, pp. 1780-1786.
    • (2002) Trans. On Signal Processing , vol.50 , Issue.7 , pp. 1780-1786
    • Erdogmus, D.1    Principe, J.2
  • 3
    • 21844468374 scopus 로고    scopus 로고
    • "Optimization of the error entropy minimization algorithm for neural network classification"
    • C.H. Dagli, A.L. Buczak, D.L. Enke, M.J. Embrechts, and O. Ersoy, Eds., ASME Press
    • J. M. Santos, J. Marques de Sá, L. A. Alexandre, and F. Sereno, "Optimization of the error entropy minimization algorithm for neural network classification," in Intelligent Engineering Systems Through Artificial Neural Networks, C.H.Dagli, A. L. Buczak, D. L. Enke, M. J. Embrechts, and O. Ersoy, Eds., vol. 14. ASME Press, 2004, pp. 81-86.
    • (2004) Intelligent Engineering Systems Through Artificial Neural Networks , vol.14 , pp. 81-86
    • Santos, J.M.1    Marques de Sá, J.2    Alexandre, L.A.3    Sereno, F.4
  • 5
    • 0033325638 scopus 로고    scopus 로고
    • "Training mlps layer-by-layer with the information potential"
    • D. Xu and J. Princpe, "Training mlps layer-by-layer with the information potential," in Intl. Joint Conf. on Neural Networks, 1999, pp. 1716-1720.
    • (1999) Intl. Joint Conf. on Neural Networks , pp. 1716-1720
    • Xu, D.1    Princpe, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.