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Volumn 76, Issue 2, 1999, Pages 113-116

Artificial neural network technology for the data processing of on-line corrosion fatigue crack growth monitoring

Author keywords

Artificial neural network; Corrosion fatigue life; On line monitoring

Indexed keywords

CRACK PROPAGATION; CYCLIC LOADS; DATA PROCESSING; FATIGUE OF MATERIALS; LEARNING SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS;

EID: 0033604987     PISSN: 03080161     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0308-0161(98)00136-7     Document Type: Article
Times cited : (44)

References (7)
  • 6
    • 0344129602 scopus 로고    scopus 로고
    • Pressure Vessel Technology
    • Ye C., Huang W.L., Li Q., Zhou C.Y. Pressure Vessel Technology. China. 15:(3):1998;13.
    • (1998) China , vol.15 , Issue.3 , pp. 13
    • Ye, C.1    Huang, W.L.2    Li, Q.3    Zhou, C.Y.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.