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Volumn 353-358, Issue PART 1, 2007, Pages 541-544

Artificial neural network models for predicting flow stress and microstructure evolution of a hydrogenized titanium alloy

Author keywords

BP neural network; Hot deformation; Hydrogenization; Ti 6Al 2Zr 1Mo 1V alloy

Indexed keywords

BACKPROPAGATION; COMPUTER SIMULATION; HOT WORKING; MICROSTRUCTURAL EVOLUTION; NEURAL NETWORKS; PLASTIC FLOW;

EID: 36048941159     PISSN: 10139826     EISSN: 16629795     Source Type: Book Series    
DOI: 10.4028/0-87849-456-1.541     Document Type: Conference Paper
Times cited : (8)

References (11)
  • 5
    • 34249728995 scopus 로고    scopus 로고
    • D.L. Sun, Q. Wang, X. Han, T. Wu: Key Engineering Materials. 297-300 (2005), p. 1133
    • D.L. Sun, Q. Wang, X. Han, T. Wu: Key Engineering Materials. Vol. 297-300 (2005), p. 1133
  • 11
    • 36049019819 scopus 로고    scopus 로고
    • W.C. Xu, D.B. Shan, Y. Lv and C.F Li: Trans. Nonferrous Met. Soc. China. 15, Special 2 (2005), p.165
    • W.C. Xu, D.B. Shan, Y. Lv and C.F Li: Trans. Nonferrous Met. Soc. China. Vol.15, Special 2 (2005), p.165


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.