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

Chemical Industry and Chemical Engineering Quarterly

Brdarić Tanja P.¹  Rajković Katarina M.¹  Milić Slavica M.¹  Milić Petar S.¹  Milićević Predrag M.¹  Pavelkić Vesna M.¹ 

关键词: artificial neural networks;    genetic algorithm;    Galium mollugo;    lady’s bedstraw;    maceration;    reflux extraction;    ultrasound-assisted extraction;   

DOI  :  

来源: Croatian Association of Chemical Engineers

【 摘 要 】

AcademicJournalsDatabaseisauniversalindexofperiodicalliteraturecoveringbasicresearchfromallfieldsofknowledge,andisparticularlystronginmedicalresearch,humanitiesandsocialsciences.Full-textfrommostofthearticlesisavailable.AcademicJournalsDatabasecontainscompletebibliographiccitations,preciseindexing,andinformativeabstractsforpapersfromawiderangeofperiodicals.

【 授权许可】

Unknown