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Volumn 20, Issue 4, 1999, Pages 169-178

Neural network methods for corrosion data reduction

Author keywords

Corrosion behaviour; Neural network methods; Stainless steel

Indexed keywords

COMPOSITION EFFECTS; DATA REDUCTION; NEURAL NETWORKS; PITTING; STAINLESS STEEL; THERMAL EFFECTS;

EID: 0032772103     PISSN: 02641275     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0261-3069(99)00026-6     Document Type: Article
Times cited : (57)

References (12)
  • 1
    • 0026925729 scopus 로고
    • Neural network prediction of stress-corrosion cracking
    • Smets HMG, Bogaerts WFL. Neural network prediction of stress-corrosion cracking. Mater Perform 1992;31:64-67.
    • (1992) Mater Perform , vol.31 , pp. 64-67
    • Smets, H.M.G.1    Bogaerts, W.F.L.2
  • 2
    • 33748999178 scopus 로고
    • Development of a neural network model for predicting damage functions for pitting corrosion in condensing heat exchangers
    • Paris
    • Urquidi-Macdonald M, Eiden MN, Macdonald DD. Development of a neural network model for predicting damage functions for pitting corrosion in condensing heat exchangers. Paris: Modifications of Passive Films, 1993:336-343.
    • (1993) Modifications of Passive Films , pp. 336-343
    • Urquidi-Macdonald, M.1    Eiden, M.N.2    Macdonald, D.D.3
  • 3
    • 0028176306 scopus 로고
    • Modelling geological brines in salt-dome high level nuclear waste isolation repositories by artificial neural networks
    • Ben-Hain M, Macdonald DD. Modelling geological brines in salt-dome high level nuclear waste isolation repositories by artificial neural networks. Corros Sci 1994;36:385-393.
    • (1994) Corros Sci , vol.36 , pp. 385-393
    • Ben-Hain, M.1    Macdonald, D.D.2
  • 4
    • 0000026919 scopus 로고
    • Corrosion prediction from polarization scans using an artificial neural network integrated with an expert system
    • Silverman DC, Rosen EM. Corrosion prediction from polarization scans using an artificial neural network integrated with an expert system. Corrosion 1992;48:734-745.
    • (1992) Corrosion , vol.48 , pp. 734-745
    • Silverman, D.C.1    Rosen, E.M.2
  • 5
    • 0028448003 scopus 로고
    • Artificial neural network predictions of degradation of non-metallic lining materials from laboratory tests
    • Silverman DC. Artificial neural network predictions of degradation of non-metallic lining materials from laboratory tests. Corrosion 1994;50:411-418.
    • (1994) Corrosion , vol.50 , pp. 411-418
    • Silverman, D.C.1
  • 6
    • 0027681781 scopus 로고
    • Stone impact damage to automobile paint finishes - A statistical and neural net analysis of electrochemical impedance data
    • Ramamurthy AC, Lorenzen WI, Urquidi-Macdonald M. Stone impact damage to automobile paint finishes - a statistical and neural net analysis of electrochemical impedance data. Electrochim Acta 1993;14:2083-2091.
    • (1993) Electrochim Acta , vol.14 , pp. 2083-2091
    • Ramamurthy, A.C.1    Lorenzen, W.I.2    Urquidi-Macdonald, M.3
  • 7
    • 0029706739 scopus 로고    scopus 로고
    • Crevice corrosion: A neural network approach
    • Trasatti SP, Mazza F. Crevice corrosion: a neural network approach. Br Corros J 1996;31:105-112.
    • (1996) Br Corros J , vol.31 , pp. 105-112
    • Trasatti, S.P.1    Mazza, F.2
  • 9
    • 0343740274 scopus 로고    scopus 로고
    • Neural networks for corrosion data reduction
    • paper 379, NACE
    • Cottis RA, Helliwell I, Turega M. Neural networks for corrosion data reduction. Corrosion/96, paper 379, NACE, 1996.
    • (1996) Corrosion/96
    • Cottis, R.A.1    Helliwell, I.2    Turega, M.3
  • 10
    • 84903389520 scopus 로고    scopus 로고
    • PhD Thesis. UMIST
    • Gartland SJ. PhD Thesis. UMIST, 1998.
    • (1998)
    • Gartland, S.J.1
  • 12
    • 0019707309 scopus 로고
    • The determination of pitting potentials
    • Man H, Gabe D. The determination of pitting potentials. Corros Sci 1981;21:713.
    • (1981) Corros Sci , vol.21 , pp. 713
    • Man, H.1    Gabe, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.