Chemometrics analysis for investigation of retention behavior of hazardous compounds in effluents
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine
Link
http://link.springer.com/content/pdf/10.1007/s10661-012-2568-2.pdf
Reference27 articles.
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3. Bodzioch, K., Durand, A., Kaliszan, R., Bączek, T., & Vander Heyden, Y. (2010). Advanced QSRR modeling of peptides behavior in RPLC. Talanta, 81, 1711–1718.
4. Bolanča, T., Cerjan-Stefanović, S., Regelja, M., Regelja, H., & Lončarić, H. (2005). Development of an inorganic cations retention model in ion chromatography by means of artificial neural networks with different two-phase training algorithms. Journal of Chromatography. A, 1085, 74–85.
5. Chamjangali, M. A., Beglari, M., & Bagherian, G. (2007). Prediction of cytotoxicity data (CC50) of anti-HIV 5-pheny-l-phenylamino-1H-imidazole derivatives by artificial neural network trained with Levenberg–Marquardt algorithm. J. Mol. Graphics Modell., 26, 360–367.
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