An Arithmetic Optimization Algorithm–Support Vector Regression Approach for Predicting Drug Solubility in Supercritical Carbon Dioxide
Abstract:An efficient Arithmetic Optimization Algorithm (AOA) was performed to refine the three hyper-parameters of a support vector regression algorithm (SVR). The outcome approach, namely Arithmetic Optimization Algorithm-Support Vector Regression Approach (AOA-SVR) was applied to predict the solubility of 168 drug compounds in supercritical carbon dioxide (SC-CO2), representing a dataset of 13 inputs, 1 output, and 4490 experimental data points (EDP). 4330 EDP were used to build the model, while 160 data points were… Show more
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