Development of an Artificial Neural Network Utilizing Particle Swarm Optimization for Modeling the Spray Drying of Coconut Milk
Spray drying techniques are one of the methods to preserve and extend the shelf-life of coconut milk. The objective of this research was to create a particle swarm optimization–enhanced artificial neural network (PSO–ANN) that could predict the coconut milk spray drying process. The parameters for P...
Enregistré dans:
Auteurs principaux: | Jesse Lee Kar Ming, Mohd Shamsul Anuar, Muhammad Syahmeer How, Samsul Bahari Mohd Noor, Zalizawati Abdullah, Farah Saleena Taip |
---|---|
Format: | article |
Langue: | EN |
Publié: |
MDPI AG
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/c9bc1236f93e45b2a9c8dc3cd6b93794 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Influence of a spray-dried fat enriched with EPA and DHA on the fatty acid composition of sow milk
par: Grez,Mariola, et autres
Publié: (2016) -
Evaluation of asphalt binder blended with coconut coir dust and residual coconut fibers for structural applications
par: Loaiza,Alexandra, et autres
Publié: (2018) -
Standardization of critical boron level in soil and leaves of coconut palms grown in a tropical Entisol
par: Mathew,Jeena, et autres
Publié: (2018) -
Rootstock screening for greenhouse tomato production under a coconut coir cultivation system
par: Sun,Lulu, et autres
Publié: (2021) - Journal of thermal spray technology