Development of SVM-based machine learning model for estimating lornoxicam solubility in supercritical solvent

This paper investigates the application of Support Vector Regression with Quadratic Kernel (QSVR) for modeling the solubility of lornoxicam in supercritical carbon dioxide. The dataset comprises temperature (T) and pressure (P) as input variables, while the solubility (Y) of lornoxicam serves as the...

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Bibliographic Details

Published in:	Case Studies in Thermal Engineering
Main Authors:	Mingji Zhang, Wael A. Mahdi
Format:	Article
Language:	English
Published:	Elsevier 2023-09-01
Subjects:	Pharmaceutics Nanomedicine Support vector regression Quadratic kernel Hyperparameter tuning
Online Access:	http://www.sciencedirect.com/science/article/pii/S2214157X23005749