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Desalination and Water Treatment Volume 11, 2009 - Issue 1-3
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Original Articles

Determination of relationship between hardness and groundwater quality parameters by neural networks

N. Balkaya Environmental Engineering Department, Istanbul University, Engineering Faculty, 34 320, Avcilar, Istanbul, Turkey Phone: +90-212-4737070/17726 Fax: +90-212-4737070/17726
,
H. Kurtulus Ozcan Environmental Engineering Department, Istanbul University, Engineering Faculty, 34 320, Avcilar, Istanbul, Turkey Phone: +90-212-4737070/17726 Fax: +90-212-4737070/17726
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O. Nuri Ucan Electrical-Electronics Engineering Department, Istanbul University, Engineering Faculty, 34 320, Avcilar, Istanbul, Turkey
Pages 258-263 | Received 27 Mar 2009, Accepted 26 Aug 2009, Published online: 03 Aug 2012

Citations (3)

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Read on this site (1)

M.C. Amiri, P. Jafari & S. Amiri. (2016) Puffing as a totally green method for monitoring of hot/cold lime softening process. Desalination and Water Treatment 57:14, pages 6224-6229.
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Articles from other publishers (2)

Amirhosein Mosavi, Farzaneh Sajedi Hosseini, Bahram Choubin, Mahsa Abdolshahnejad, Hamidreza Gharechaee, Ahmadreza Lahijanzadeh & Adrienn A. Dineva. (2020) Susceptibility Prediction of Groundwater Hardness Using Ensemble Machine Learning Models. Water 12:10, pages 2770.
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Atakan Ongen, H. Kurtulus Ozcan & Semiha Arayıcı. (2013) An evaluation of tannery industry wastewater treatment sludge gasification by artificial neural network modeling. Journal of Hazardous Materials 263, pages 361-366.
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