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eNauka >  Results >  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
Title: 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
Authors: Milić, Petar; Rajković, Katarina; Milićević, Predrag; Milić, Slavica; Brdarić, Tanja  ; Pavelkić, Vesna 
Issue Date: 2013
Publication: Chemical Industry and Chemical Engineering Quarterly / CICEQ
ISSN: 1451-9372 Chemical Industry and Chemical Engineering Quarterly / CICEQ Search Idenfier
Type: Article
Collation: vol. 19 br. 1 str. 141-152
DOI: 10.2298/ciceq120316049m
WoS-ID: 000319787300014
Scopus-ID: 2-s2.0-84875648964
URI: https://enauka.gov.rs/handle/123456789/528209
Project: Ministry of Education, Science and Technological Development of the Republic of Serbia [TR 31055]
Metadata source: Migracija
M-category: 
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