An artificial intelligence approach for modeling the rejection of anti-inflammatory drugs by nanofiltration and reverse osmosis membranes using kernel support vector machine and neural networks
نویسندگان
چکیده
The rejection of anti-inflammatory drugs by membranes has shown paramount importance in separation membrane processes such as nanofiltration and reverse osmosis (NF/RO) for pharmaceutical industries. Therefore, the main objective this paper is to use support vector machine (SVM) artificial neural network (ANN) model rejections NF/RO using 300 experimental data points gathered from literature. Both approaches (ANN SVM) gave close results with a slight superiority networks demonstrated its correlation coefficient (R) root mean square error (RMSE) values 0.9930 1.8094% respectively, contrast 0.9900 2.2355% SVM. Sensitivity analysis weight method demonstrates that most relevant variables influence are: effective diameter an organic compound water “d c ”, molecular length, contact angle, zeta potential. These input have significant contribution (relative superior 10%).
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ژورنال
عنوان ژورنال: Comptes Rendus Chimie
سال: 2021
ISSN: ['1878-1543', '1631-0748']
DOI: https://doi.org/10.5802/crchim.76