Prediction of the Phytochemical Properties of Luffa Cylindrica Seed Oil Using Artificial Neural Network

The research used an artificial neural network (ANN) to examine optimum extraction conditions and phytochemical contents of Luffa cylindrica seed oil. The oil yield was predicted using an artificial neural network. The performance of the ANN and response surface methodology models was compared. The...

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Veröffentlicht in:	Traektorii͡a︡ nauki : mezhdunarodnyĭ ėlektronnyĭ nauchnyĭ zhurnal 2023-01, Vol.9 (1), p.1001-1010
Hauptverfasser:	Stanley, Udemgba Chinonso, Solace, Amarachi Anyawu, Obumneme, Amaefule Excel, Ogechi, Odoemelam Patience, Ifeanyi, Odo Godfrey, Emmanuel, Okam Chukwu, Chukwudi, Nnaemeka Nwachuckwu, Izuchukwu, Sandra Ijeoma, Clement, Iheanacho Eberechi, Chinedu, Ogbonna Chiemezuo, Okechukwu, Sunday, Okwudifele, Moses Chukwuebuka
Format:	Artikel
Sprache:	eng
Schlagworte:	Demography and human biology Environmental interactions ICT Information and Communications Technologies
Online-Zugang:	Volltext
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