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Volumn 5, Issue 4, 2014, Pages 1288-1297

Corrosion inhibition of mild steel by some sulfur containing compounds: Artificial neural network modeling

Author keywords

Artificial neural network; Corrosion inhibitor; Quantum chemical descriptors

Indexed keywords


EID: 84902584340     PISSN: 20282508     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (13)

References (24)
  • 1
    • 84884062964 scopus 로고    scopus 로고
    • 2.40-Neural Network Methods for Corrosion Data Reduction
    • in, B. Cottis, M. Graham, R. Lindsay, S. Lyon, T. Richardson, D. Scantlebury, H. Stott (Eds.), Elsevier, Oxford
    • Cottis R.A., 2.40-Neural Network Methods for Corrosion Data Reduction, in: B. Cottis, M. Graham, R. Lindsay, S. Lyon, T. Richardson, D. Scantlebury, H. Stott (Eds.) Shreir's Corrosion, Elsevier, Oxford, 2010, pp. 1680-1692.
    • (2010) Shreir's Corrosion , pp. 1680-1692
    • Cottis, R.A.1
  • 19
    • 84902600394 scopus 로고    scopus 로고
    • Materials Studio 6.0 Manual, Accelrys
    • Materials Studio 6.0 Manual, Accelrys, (2009).
    • (2009)
  • 22
    • 85001009606 scopus 로고    scopus 로고
    • Accelrys, Materials Studio Manual
    • in, Accelrys, USA
    • Accelrys, Materials Studio Manual, in, Accelrys, USA, 2013.
    • (2013)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.