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

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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Bibliographic Details
Main Authors: Udemgba Chinonso Stanley, Amarachi Anyawu Solace, Amaefule Excel Obumneme, Odoemelam Patience Ogechi, Okam Chukwu Emmanuel, Odo Godfrey Ifeanyi, Nnaemeka Nwachuckwu Chukwudi, Sandra Ijeoma Izuchukwu, Iheanacho Eberechi Clement, Ogbonna Chiemezuo Chinedu, Sunday Okechukwu, Moses Chukwuebuka Okwudifele
Format: Article
Language:English
Published: Altezoro s.r.o. (Slovak Republic) and Publishing Center "Dialog" (Ukraine) 2023-01-01
Series:Traektoriâ Nauki
Subjects:
artificial neural networks
luffa cylindrica seed oil
alkyd resin
phytochemicals
Online Access:https://pathofscience.org/index.php/ps/article/view/2283

Internet

https://pathofscience.org/index.php/ps/article/view/2283

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