메뉴 건너뛰기




Volumn 13, Issue 1, 2004, Pages 45-69

Incremental neural network training with an increasing input dimension

Author keywords

Feedforward network; Incremental training; Input attributes; Input dimension; Neural networks; Supervised learning

Indexed keywords

ALGORITHMS; COMPUTER ARCHITECTURE; DATA REDUCTION; LEARNING SYSTEMS; PROBLEM SOLVING; REGRESSION ANALYSIS;

EID: 2442628430     PISSN: 03341860     EISSN: None     Source Type: Journal    
DOI: 10.1515/JISYS.2004.13.1.71     Document Type: Article
Times cited : (26)

References (9)
  • 1
    • 0035576171 scopus 로고    scopus 로고
    • Incremental learning with respect to new incoming input attributes
    • Guan, S.U. and Li, S.C. 2001. Incremental learning with respect to new incoming input attributes, Neural Processing Letters, 14, 241-260.
    • (2001) Neural Processing Letters , vol.14 , pp. 241-260
    • Guan, S.U.1    Li, S.C.2
  • 3
    • 0035506958 scopus 로고    scopus 로고
    • Power system security assessment using neural networks: Feature selection using Fisher discrimination
    • Jensen, C.A., El-Sharkawi, M.A. and Marks II, R.J. 2001. Power system security assessment using neural networks: feature selection using Fisher discrimination, IEEE Transactions on Power Systems, 16.
    • (2001) IEEE Transactions on Power Systems , vol.16
    • Jensen, C.A.1    El-Sharkawi, M.A.2    Marks II, R.J.3
  • 4
    • 0032795250 scopus 로고    scopus 로고
    • Modelling with constructive backpropagation
    • Lehtokangas, M. 1999. Modelling with constructive backpropagation, Neural Networks, 12, 707-716.
    • (1999) Neural Networks , vol.12 , pp. 707-716
    • Lehtokangas, M.1
  • 5
    • 0034944415 scopus 로고    scopus 로고
    • Incremental self-growing neural networks with the changing environment
    • Li, S., Guan, S.U. and Yeo, Ye-Chuan. 2001. Incremental self-growing neural networks with the changing environment, Journal of Intelligent Systems, 11, 43-74.
    • (2001) Journal of Intelligent Systems , vol.11 , pp. 43-74
    • Li, S.1    Guan, S.U.2    Ye-Chuan, Y.3
  • 8
    • 0004042460 scopus 로고
    • PROBEN1: A set of neural network benchmark problems and benchmarking rules
    • Department of Informatics, University of Karlsruhe, Germany
    • Prechelt, L. 1994. PROBEN1: A set of neural network benchmark problems and benchmarking rules, Technical Report 21/94, Department of Informatics, University of Karlsruhe, Germany.
    • (1994) Technical Report , vol.21 , Issue.94
    • Prechelt, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.