Neuro fuzzy and hybrid modeling of supercritical fluid extraction of Pimpinella Anisum L. seed
In the current study, a Neuro-Fuzzy model has been developed to predict the mass of extract in the process of supercritical fluid extraction of Pimpinella anisum L. seed. The adaptive-network-based fuzzy inference system (ANFIS) technique was trained with the recorded data from kinetic experiments o...
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| 第一著者: | |
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| フォーマット: | 学位論文 |
| 言語: | English |
| 出版事項: |
2012
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| 主題: | |
| オンライン･アクセス: | http://eprints.utm.my/id/eprint/48135/1/MeysamDavoodyMFKM2012.pdf http://eprints.utm.my/id/eprint/48135/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:79400?queryType=vitalDismax&query=Neuro+fuzzy+and+hybrid+modeling+of+supercritical+fluid+extraction+of+Pimpinella+Anisum+L.+seed&public=true |
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http://eprints.utm.my/id/eprint/48135/1/MeysamDavoodyMFKM2012.pdfhttp://eprints.utm.my/id/eprint/48135/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:79400?queryType=vitalDismax&query=Neuro+fuzzy+and+hybrid+modeling+of+supercritical+fluid+extraction+of+Pimpinella+Anisum+L.+seed&public=true