Machine learning-assisted data-driven optimization and understanding of the multiple stage process for extraction of polysaccharides and secondary metabolites from natural products
Jiamu Ma, Jianling Yao, Xueyang Ren, Ying Dong, Ruolan Song, Xiangjian Zhong, Yuan Zheng, Dongjie Shan, Fang Lv, Xianxian Li, Qingyue Deng, Yingyu He, Ruijuan Yuan, Gaimei She
Abstract
A machine learning strategy mainly consist of radial basis function neural network and genetic algorithm for predicting and understanding multi-objective extraction process.
Topics & Concepts
Extraction (chemistry)Process (computing)Artificial neural networkComputer scienceArtificial intelligenceFunction (biology)Basis (linear algebra)Genetic algorithmMachine learningPolysaccharideBiochemical engineeringChemistryChromatographyEngineeringMathematicsBiologyOrganic chemistryGeometryOperating systemEvolutionary biologySpectroscopy and Chemometric AnalysesPolysaccharides Composition and ApplicationsChromatography in Natural Products