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Volumn 1, Issue , 2007, Pages 64-68

A study on how to help back-propagation escape local minimum

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; CONSTRAINT THEORY;

EID: 38049010564     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNC.2007.150     Document Type: Conference Paper
Times cited : (5)

References (8)
  • 4
    • 1542316195 scopus 로고    scopus 로고
    • Research on the problem of neural network convergence
    • Jian-Jun Xiong, Hui Zhang, "Research on the problem of neural network convergence", Machine Learning and Cybernetics, Vol.2, pp.1132-1134, 2003
    • (2003) Machine Learning and Cybernetics , vol.2 , pp. 1132-1134
    • Xiong, J.1    Zhang, H.2
  • 5
    • 0036925485 scopus 로고    scopus 로고
    • BP neural network optimization based on an improved genetic algorithm
    • Bo Yang, Xiaohong Su, Yadong Wang, "BP neural network optimization based on an improved genetic algorithm", Machine Learning and Cybernetcs, 2002.Proceedings, Vol.1, pp.64-68, 2002
    • (2002) Machine Learning and Cybernetcs, 2002.Proceedings , vol.1 , pp. 64-68
    • Yang, B.1    Su, X.2    Wang, Y.3
  • 6
    • 37349018628 scopus 로고    scopus 로고
    • BP network model optimized using the genetic algorithms and the application on fault diagnose of equipments
    • Xianyao Meng, Xinjie Han, Song Meng, "BP network model optimized using the genetic algorithms and the application on fault diagnose of equipments", Chinese Control Conference, pp. 1276-1280, 2006
    • (2006) Chinese Control Conference , pp. 1276-1280
    • Meng, X.1    Han, X.2    Meng, S.3
  • 7
    • 0004063090 scopus 로고
    • U.S.A. Prentice Hall Upper Saddle River, New Jersey
    • S. Haykin, Neural Networks, U.S.A. Prentice Hall Upper Saddle River, New Jersey, 1994
    • (1994) Neural Networks
    • Haykin, S.1
  • 8
    • 0003539213 scopus 로고    scopus 로고
    • The Monk's Problem: A performance Comparison of Different Learning Algorithms
    • CMU-CS-91-197, Pittsburgh, PA: Carnegie Mellon
    • S.Thrun, J.Bala, E.Bloedorn etc, "The Monk's Problem: A performance Comparison of Different Learning Algorithms," (Technical Report CMU-CS-91-197), Pittsburgh, PA: Carnegie Mellon, 1997
    • (1997) Technical Report
    • Thrun, S.1    Bala, J.2    Bloedorn, E.3    etc4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.