Assessment of groundwater corrosivity in Hamedan Province, Iran using an adaptive neuro-fuzzy inference system (ANFIS)-Reference-Cited by-同舟云学术

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Assessment of groundwater corrosivity in Hamedan Province, Iran using an adaptive neuro-fuzzy inference system (ANFIS)

Published:2011-12 Issue:4 Volume:15 Page:433-439
ISSN:1226-4806
Container-title:Geosciences Journal
language:en
Short-container-title:Geosci J

Author:

Abyaneh Hamid Zare,Varkeshi Maryam Bayat,Mohammadi Kourosh,Howard Ken,Marofi Safar

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

http://link.springer.com/content/pdf/10.1007/s12303-011-0032-x.pdf

Reference26 articles.

1. Agatemor, C., and Okolo P., 2008, Studies of corrosion tendency of drinking water in the distribution system at the University of Benin. Environmentalist, 28, 379–384.

2. Bassam, A., Ortega-Toledo, D., Hernandez, J.A., Gonzalez-Rodriguez, J.G., and Uruchurtu, J., 2008, Artificial neural network for the evaluation of CO2 corrosion in a pipeline steel. Journal of Solid State Electrochemistry, 13, 773–780.

3. Change, L.-C., and Change, F.-J., 2001, Intelligent control for modeling of real-time reservoir operation. Hydrological Processes, 15, 1621–1634.

4. Cottis, R.A., Qing, L., Owen, G., Gartland, S.J., Helliwell, I.A., and Turega, M., 1999, Neural network methods for corrosion data reduction. Materials and Design, 20, 169–178.

5. Denai, M.A., Palis, F., and Zeghbib, A., 2007, Modeling and control of non-linear systems using soft computing techniques. Applied Soft Computing, 7, 728–738.

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