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Volumn 19, Issue 1, 2013, Pages 141-152

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;Poređenje, modelovanje veštačkom neuronskom mrežom i optimizacija genetičkim algoritmom prinosa rezinoida i kalijuma iz ivanjskog cveća (Galium mollugo L.) dobijenih konvencionalnom, refluks i ultrazvučnom vodeno-etanolnom ekstrakcijom

Author keywords

Artificial neural networks; Galium mollugo; Genetic algorithm; Lady's bedstraw; Maceration; Reflux extraction; Ultrasound assisted extraction

Indexed keywords


EID: 84875648964     PISSN: 14519372     EISSN: 22177434     Source Type: Journal    
DOI: 10.2298/CICEQ120316049M     Document Type: Article
Times cited : (8)

References (39)
  • 1
    • 0004127266 scopus 로고    scopus 로고
    • Sounders, London, Philadelphia-Toronto-Sydney-Tokyo
    • W.C. Evans, Trease and Evans' Pharmacognosy, Sounders, London, Philadelphia-Toronto-Sydney-Tokyo, 1996
    • (1996) Trease and Evans' Pharmacognosy
    • Evans, W.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.