首页> 外文期刊>Chemical Industry Chemical Engineering Quarterly >Comparison, artificial neural network modeling and genetic algorithm optimization of the resinoid and potassium yields from white lady’s bedstraw (Galium mollugo L.) by conventional, reflux and ultrasound-assisted aqueous-ethanolic extraction
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Comparison, artificial neural network modeling and genetic algorithm optimization of the resinoid and potassium yields from white lady’s bedstraw (Galium mollugo L.) by conventional, reflux and ultrasound-assisted aqueous-ethanolic extraction

机译:比较,人工神经网络建模和遗传算法优化,通过常规,回流和超声辅助乙醇水溶液萃取白夫人稻草(Galium mollugo L.)的类树脂和钾收率

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