Evaluation of the response surface and hybrid artificial neural network-genetic algorithm methodologies to determine extraction yield of Ferulago angulata through supercritical fluid
Gholamhossein SodeifianDepartment of Chemical Engineering, Faculty of Engineering, University of Kashan, Postal Code: 87317-51167, Islamic Republic of IranSeyed Ali SajadianDepartment of Chemical Engineering, Faculty of Engineering, University of Kashan, Postal Code: 87317-51167, Islamic Republic of IranNedasadat Saadati ArdestaniDepartment of Chemical Engineering, Faculty of Engineering, University of Kashan, Postal Code: 87317-51167, Islamic Republic of Iran
2015en
ABI
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Cited by 40 references