Artificial neural network models based on QSAR for predicting rejection of neutral organic compounds by polyamide nanofiltration and reverse osmosis membranes
Creators
- 1. UNESCO-IHE Institute for Water Education
- 2. Delft University of Technology
- 3. University of New South Wales
- 4. Pennsylvania State University
Publication Details
Journal article
Journal:
Journal of Membrane Science
Publisher:
Elsevier BV
ISSN:
03767388
Volume:
342
Pages:
251-262
Persistent Identifiers
DOI
10.1016/j.memsci.2009.06.048
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MAGID
2072274571
References
Kimura . Rejection of neutral endocrine disrupting compounds (EDCs) and pharmace...
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Li . Fouling of reverse osmosis membranes by biopolymers in wastewater secondary...
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Papadokonstantakis . Comparison of recent methods for inference of variable infl...
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Nghiem . Removal of natural hormones by nanofiltration membranes: measurement, m...
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Olden . An accurate comparison of methods for quantifying variable importance in...
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