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...
Main Authors: | Abdullah, Z. (Author), Anuar, M.S (Author), How, M.S (Author), Ming, J.L.K (Author), Noor, S.B.M (Author), Taip, F.S (Author) |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI
2021
|
Series: | Foods
|
Subjects: | |
Online Access: | View Fulltext in Publisher View in Scopus |
Similar Items
-
Development of an Artificial Neural Network Utilizing Particle Swarm Optimization for Modeling the Spray Drying of Coconut Milk
by: Abdullah, Z, et al.
Published: (2021) -
Nonlinear model-based inferential control of moisture content of spray dried coconut milk
by: Abdul Rahman, R.Z, et al.
Published: (2020) -
Nonlinear Model-Based Inferential Control of Moisture Content of Spray Dried Coconut Milk
by: Abdullah, Z, et al.
Published: (2020) -
Optimization of genetic algorithm parameter in hybrid genetic algorithm-neural network modelling: Application to spray drying of coconut milk
by: Abdullah, Z, et al.
Published: (2020) -
Artificial Neural Network Topology Optimization using K-Fold Cross Validation for Spray Drying of Coconut Milk
by: IOP, et al.
Published: (2020)