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Volumn 104, Issue 1, 2000, Pages 74-80

Prediction of mechanical properties in spheroidal cast iron by neural networks

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED ANALYSIS; LEARNING SYSTEMS; NEURAL NETWORKS; TENSILE STRENGTH; TENSILE TESTING;

EID: 0034249850     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0924-0136(00)00514-8     Document Type: Article
Times cited : (36)

References (9)
  • 1
    • 0003855525 scopus 로고
    • American Society for Metals, Ohio
    • Metals Handbook, American Society for Metals, Ohio, 1985.
    • (1985) Metals Handbook
  • 2
    • 0343623998 scopus 로고
    • Mechanism of crystallization of spheroidal graphite in cast iron
    • Sytnik N.M. Mechanism of crystallization of spheroidal graphite in cast iron. Met. Sci. Heat Treatment. 33(3/4):1991;317-322.
    • (1991) Met. Sci. Heat Treatment , vol.33 , Issue.3-4 , pp. 317-322
    • Sytnik, N.M.1
  • 3
    • 0029543178 scopus 로고
    • Simulating solidification of spheroidal graphite cast iron of Fe-C-Si systems
    • Almansour A., Kazuhiro M., Hatayama T., Yanagisawa O. Simulating solidification of spheroidal graphite cast iron of Fe-C-Si systems. Mater. Trans. JIM. 36(12):1995;1487-1495.
    • (1995) Mater. Trans. JIM , vol.36 , Issue.12 , pp. 1487-1495
    • Almansour, A.1    Kazuhiro, M.2    Hatayama, T.3    Yanagisawa, O.4
  • 5
    • 0031072196 scopus 로고    scopus 로고
    • A numerical and experimental investigation of neural network-based intelligent control of molding processes
    • Demirci H.H., Coulter J.P., Güçeri S.I. A numerical and experimental investigation of neural network-based intelligent control of molding processes. ASME J. Manuf. Sci. Eng. 119:1997;88-94.
    • (1997) ASME J. Manuf. Sci. Eng. , vol.119 , pp. 88-94
    • Demirci, H.H.1    Coulter, J.P.2    Güçeri, S.I.3
  • 6
    • 0029356622 scopus 로고
    • Case studies on modeling manufacturing processes using artificial neural networks
    • Fan H.T., Wu S.M. Case studies on modeling manufacturing processes using artificial neural networks. ASME J. Eng. Ind. 117:1995;412-417.
    • (1995) ASME J. Eng. Ind. , vol.117 , pp. 412-417
    • Fan, H.T.1    Wu, S.M.2
  • 9
    • 0028426987 scopus 로고
    • Relevant errors associated with tension testing of metals
    • Tomesani L. Relevant errors associated with tension testing of metals. J. Test. Eval. 22(3):1994;212-216.
    • (1994) J. Test. Eval. , vol.22 , Issue.3 , pp. 212-216
    • Tomesani, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.