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
Аннотация
Аннотация мавжуд эмас.
Идентификаторлар
Иқтибослар ва манбалар
4 та иқтибос0 та фойдаланилган манба