Comments on prediction of the aqueous solubility using the general solubility equation (GSE) versus a genetic algorithm and a support vector machine model.

作者： Doaa Alantary , Samuel Yalkowsky

DOI: 10.1080/10837450.2017.1321663

关键词: Thermodynamics 、 Chromatography 、 Chemistry 、 Genetic algorithm 、 Solubility 、 Support vector machine 、 Aqueous solution 、 Simple equation 、 Aqueous solubility 、 Quantitative Structure Property Relationship

摘要: AbstractThe general solubility equation (GSE) is the state-of-the-art method for estimating aqueous solubilities of organic compounds. It an extremely simple that expresses ...

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Comments on prediction of the aqueous solubility using the general solubility equation (GSE) versus a genetic algorithm and a support vector machine model.

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Comments on prediction of the aqueous solubility using the general solubility equation (GSE) versus a genetic algorithm and a support vector machine model.

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