메뉴 건너뛰기




Volumn 127, Issue 2, 2001, Pages 169-197

Least third-order cumulant method with adaptive regularization parameter selection for neural networks

Author keywords

Generalization capability; Neural networks; Regularization; Third order cumulant

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; ERROR ANALYSIS; NEURAL NETWORKS; REGRESSION ANALYSIS; VECTORS;

EID: 0035310522     PISSN: 00043702     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0004-3702(01)00061-3     Document Type: Article
Times cited : (3)

References (19)
  • 3
    • 0001024110 scopus 로고
    • First- and second-order methods for learning: Between steepest descent and Newton's method
    • (1992) Neural Computation , vol.4 , Issue.2 , pp. 144-166
    • Battiti, R.1
  • 6
    • 0032935466 scopus 로고    scopus 로고
    • Training multilayer neural networks using fast global learning algorithm - Least squares and penalized optimization methods
    • (1999) Neurocomputing , vol.25 , Issue.1-3 , pp. 115-131
    • Cho, S.Y.1    Chow, T.W.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.