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Volumn 37, Issue 4, 2007, Pages 846-850

Limited supervising method for learning rate regulation

Author keywords

Artificial intelligence; Artificial neural network; BP networks; Learning rate; Limited supervising to regulating

Indexed keywords

BACKPROPAGATION; DEMONSTRATIONS; MECHANISMS; NEURAL NETWORKS;

EID: 34547278080     PISSN: 16715497     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (9)

References (10)
  • 1
    • 0024774330 scopus 로고
    • Neural networks and principal component analysis: Learning from examples without local minimum
    • Baldi P, Hornik K. Neural networks and principal component analysis: learning from examples without local minimum[J]. Neural Networks, 1989 (2): 53-58.
    • (1989) Neural Networks , Issue.2 , pp. 53-58
    • Baldi, P.1    Hornik, K.2
  • 2
    • 0031127257 scopus 로고    scopus 로고
    • Efficient back propagation learning using optimal learning rate and momentum
    • Yu Xiao-hu, Chen Guo-an. Efficient back propagation learning using optimal learning rate and momentum[J]. Neural Networks, 1997, 10(3): 517-527.
    • (1997) Neural Networks , vol.10 , Issue.3 , pp. 517-527
    • Yu, X.-H.1    Chen, G.-A.2
  • 3
    • 16344364779 scopus 로고    scopus 로고
    • Back propagation algorithm using dynamic optimal learning rate
    • Wang Zi-cai, Shi Yun-hui, Cui Ming-gen. Back propagation algorithm using dynamic optimal learning rate[J]. Journal of System Simulation, 2001, 13(6): 775-776/815.
    • (2001) Journal of System Simulation , vol.13 , Issue.6
    • Wang, Z.-C.1    Shi, Y.-H.2    Cui, M.-G.3
  • 4
    • 0010355590 scopus 로고    scopus 로고
    • BP network algorithm with self-adaptive learning rate and its use in the fuzzy diagnosis of turbogenerator failures
    • Li Yong, Li Hong-yuan, Ye Rong-xue. BP network algorithm with self-adaptive learning rate and its use in the fuzzy diagnosis of turbogenerator failures[J]. Journal of Engineering for Thermal Energy and Power, 1997, 12(6): 455-458.
    • (1997) Journal of Engineering for Thermal Energy and Power , vol.12 , Issue.6 , pp. 455-458
    • Li, Y.1    Li, H.-Y.2    Ye, R.-X.3
  • 6
    • 34547255521 scopus 로고    scopus 로고
    • A fuzzy adaptive algorithm for learning parameters of BP networks
    • Feng Tian-jin, Chen Zhe, Gu Fang-fang. A fuzzy adaptive algorithm for learning parameters of BP networks[J]. Journal of Ocean University of Qingdao, 2000, 30(1): 137-141.
    • (2000) Journal of Ocean University of Qingdao , vol.30 , Issue.1 , pp. 137-14
    • Feng, T.-J.1    Chen, Z.2    Gu, F.-F.3
  • 7
    • 34547246376 scopus 로고    scopus 로고
    • in Chinese
  • 8
    • 34547309753 scopus 로고    scopus 로고
    • Study of adaptive neural network for fault diagnosis of steam-turbine generator unit
    • Wan Shu-ting, Li He-ming, Li Yong-gang. Study of adaptive neural network for fault diagnosis of steam-turbine generator unit[J]. Journal of North China Electric Power University, 2002, 29(2): 99-102.
    • (2002) Journal of North China Electric Power University , vol.29 , Issue.2 , pp. 99-102
    • Wan, S.-T.1    Li, H.-M.2    Li, Y.-G.3
  • 9
    • 34547346820 scopus 로고    scopus 로고
    • Double self-adaptive learning rate algorithm for BPNN
    • Wu Mei-xian, Zhang Xue-liang, Wen Shu-hua, et al. Double self-adaptive learning rate algorithm for BPNN[J]. Modern Manufacturing Engineering, 2005 (10): 29-32.
    • (2005) Modern Manufacturing Engineering , Issue.10 , pp. 29-32
    • Wu, M.-X.1    Zhang, X.-L.2    Wen, S.-H.3
  • 10
    • 0036621533 scopus 로고    scopus 로고
    • Peak value recognition theory of artificial neural network and its application to flood forecasting
    • Li Hong-yan, Liu Han-bing, Yuan Xi-min. et al. Peak value recognition theory of artificial neural network and its application to flood forecasting[J]. Journal of Hydraulic Engineering, 2002 (6): 15-20.
    • (2002) Journal of Hydraulic Engineering , Issue.6 , pp. 15-20
    • Li, H.-Y.1    Liu, H.-B.2    Yuan, X.-M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.