Particle swarm optimization method in initialization of wavelet neural network model for fed-batch bioprocesses
Wavelet neural network is an alternative to artificial neural network in empirical modeling of industrial processes due to efficient initialization of network parameters that reduces training time. In this paper, particle swarm optimization methods are used for initialization of dilation and transla...
Main Authors: | Mamat, Nor Hana, Mohd Noor, Samsul Bahari, Che Soh, Azura, Taip, Farah Saleena, Ab Rashid, Ahmad Hazri, Jufika Ahmad, Nur Liyana, Mohd Yusuff, Ishak |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
IEEE
2018
|
Online Access: | http://psasir.upm.edu.my/id/eprint/68438/1/Particle%20swarm%20optimization%20method%20in%20initialization%20of%20wavelet%20neural%20network%20model%20for%20fed-batch%20bioprocesses.pdf |
Similar Items
-
Rank-based optimal neural network architecture for dissolved oxygen prediction in a 200L bioreactor
by: Mamat, Nor Hana, et al.
Published: (2017) -
Optimization of neural network architecture using particle swarm algorithm for dissolved oxygen modelling in a 200L bioreactor PHA production
by: Mamat, Nor Hana, et al.
Published: (2018) -
Development of an Artificial Neural Network Utilizing Particle Swarm Optimization for Modeling the Spray Drying of Coconut Milk
by: Jesse Lee Kar Ming, et al.
Published: (2021-11-01) -
Analytical formulation of the integral square error for linear stable feedback control system
by: Shahemabadi, Ali Rafiei, et al.
Published: (2013) -
Development of an artificial neural network utilizing particle swarm optimization for modeling the spray drying of coconut milk
by: Lee, Jesse Kar Ming, et al.
Published: (2021)