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Volumn 32, Issue 23, 1996, Pages 2152-2153

On-line training and pruning for recursive least square algorithms

Author keywords

Least squares approximations; Neural networks

Indexed keywords

COMPUTER SIMULATION; LEARNING ALGORITHMS; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; ONLINE SYSTEMS; RECURSIVE FUNCTIONS;

EID: 0030574155     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el:19961443     Document Type: Article
Times cited : (41)

References (5)
  • 1
    • 0027662338 scopus 로고
    • Pruning algorithm - A survey
    • RUSSELL, R.: 'Pruning algorithm - a survey', IEEF, Trans. Neural Networks, 1993, 4, pp. 740-747
    • (1993) IEEF, Trans. Neural Networks , vol.4 , pp. 740-747
    • Russell, R.1
  • 3
    • 0024945041 scopus 로고
    • Training feed-forward networks with the extended Kalman algorithm
    • Glasgow
    • SINGHAL, S., and WU, L.: 'Training feed-forward networks with the extended Kalman algorithm'. Proc. IEEE Int. Conf. ASSP, Glasgow, 1989, pp. 1187-1190
    • (1989) Proc. IEEE Int. Conf. ASSP , pp. 1187-1190
    • Singhal, S.1    Wu, L.2
  • 4
    • 0026923239 scopus 로고
    • Optimal filtering algorithm for fast learning in feedforward neural networks
    • SHAH, S., PALMIERI, F., and DATUM, M.: 'Optimal filtering algorithm for fast learning in feedforward neural networks', Neural Netw., 1992, 5, pp. 779-787
    • (1992) Neural Netw. , vol.5 , pp. 779-787
    • Shah, S.1    Palmieri, F.2    Datum, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.