Modelling Drying Time of Candesartan Cilexetil Powder Using Computational Intelligence Technique
نویسندگان
چکیده
The aim of this work was to use two computational intelligence techniques, namely, artificial neural network (ANN) and support vector regression (SVR), model the drying time a pharmaceutical powder Candesartan Cilexetil , which is used for arterial hypertension treatment heart failure. experimental data set in has been collected from previously published paper kinetics using vacuum dryer under different operating conditions. comparison between models conducted statistical parameters namely root mean squared error (RMSE) determination coefficient ( R 2). Results show that SVR shows high accuracy with ANN predict non-linear behaviour pertinent variables { 2 = 0.9991, RMSE 0.262} against 0.998, 0.339} ANN, respectively.
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ژورنال
عنوان ژورنال: Kemija u Industriji
سال: 2021
ISSN: ['0022-9830', '1334-9090']
DOI: https://doi.org/10.15255/kui.2020.048