Prediction of lead corrosion behavior using feed-forward artificial neural network-Reference-Cited by-同舟云学术

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Prediction of lead corrosion behavior using feed-forward artificial neural network

Published:2008-12 Issue:4 Volume:5 Page:669-676
ISSN:1735-207X
Container-title:Journal of the Iranian Chemical Society
language:en
Short-container-title:JICS

Author:

Jalili S.,Jaberi A.,Mahjani M. G.,Jafarian M.

Publisher

Springer Science and Business Media LLC

Subject

General Chemistry

Link

http://link.springer.com/content/pdf/10.1007/BF03246148.pdf

Reference22 articles.

1. R.A. Cottis, L. Qing, G. Owen, S.J. Gartland, I.A. Helliwell, M. Turega, Mater. Design 20 (1999) 169.

2. S. Jalili, M. Tafazzoli, M. Jalali-Heravi, J. Theor. Comp. Chem. 2 (2003) 335.

3. J.A. Burns, G.M. Whitesides, Chem. Rev. 93 (1993) 2583.

4. H.M.G. Smets, W.F.L. Bogaerts, Mater. Perform. 31 (1992) 64.

5. D.C. Silverman, E.M. Rosen, Corros. Sci. 48 (1992) 734.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Checking the performance of feed-forward and cascade artificial neural networks for modeling the surface tension of binary hydrocarbon mixtures;Journal of the Iranian Chemical Society;2022-11-30

2. Assessment of groundwater corrosivity in Hamedan Province, Iran using an adaptive neuro-fuzzy inference system (ANFIS);Geosciences Journal;2011-12

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