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Volumn , Issue 1, 2009, Pages 73-76

The improved training algorithm of back propagation neural network with selfadaptive learning rate

Author keywords

Artificial neural network; Back propagation neural network; Learning rate; Self adaptive; Training algorithm

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION NEURAL NETWORK; LEARNING RATE; SELF-ADAPTIVE; TRAINING ALGORITHM;

EID: 70350554120     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CINC.2009.111     Document Type: Conference Paper
Times cited : (62)

References (7)
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    • (2005) Sensors and Actuators B: Chemical , vol.106 , pp. 468-476
    • Kuo, C.W.1    Shi, J.S.2
  • 3
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    • Parameter effects on convergence speed and generalization capability of backpropagation algorithm
    • Jan, doi: 10.1080/00207219308925810
    • C. Zhang and T. H. Keung Kwan, "Parameter effects on convergence speed and generalization capability of backpropagation algorithm," International Journal of Electronics, vol. 74, Jan. 1993, pp.35-46, doi: 10.1080/00207219308925810.
    • (1993) International Journal of Electronics , vol.74 , pp. 35-46
    • Zhang, C.1    Keung Kwan, T.H.2
  • 4
    • 33750016365 scopus 로고    scopus 로고
    • A hybrid training algorithm for feedforward neural networks
    • Oct, doi:10.1007/s11063-006-9013-x
    • N. Mounir and C. Mohamed, "A hybrid training algorithm for feedforward neural networks," Neural Processing Letters, vol. 24, Oct. 2006, pp. 107-117, doi:10.1007/s11063-006-9013-x.
    • (2006) Neural Processing Letters , vol.24 , pp. 107-117
    • Mounir, N.1    Mohamed, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.