Optimisation of fed-batch fermentation process using deep reinforcement learning
Fed-batch fermentation process has always been a challenge for optimisation because it is highly non-linear and complex. Deep reinforcement learning is a self-learning algorithm through trial and error and experience, without any prior knowledge. This research aimed to determine the optimal feeding...
Saved in:
Main Author: | Chai, Wan Ying |
---|---|
Format: | Thesis |
Language: | English English |
Published: |
2023
|
Subjects: | |
Online Access: | https://eprints.ums.edu.my/id/eprint/40554/1/24%20PAGES.pdf https://eprints.ums.edu.my/id/eprint/40554/2/FULLTEXT.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Real Time Implementation Of Nonlinear Autoregressive With Exogenous Input Model Predictive Control For Batch Enzymatic Esterification Process
by: Zulkeflee, Siti Asyura
Published: (2017) -
Stochastic Modelling Of Bioethanol Fermentation By Saccharomyces Cerevisiae Grown In Oil Palm Residues
by: Samsudin , Mohd Dinie Muhaimin
Published: (2015) -
Optimization Of Coconut Husk Fermentation By Pycnoporus Sanguineus Using Taguchi Method For Laccase Production
by: Fuad, Izzati Ahmad
Published: (2019) -
Optimization Of Coconut Husk Fermentation By Pycnoporus Sanguineus Using Taguchi Method For Laccase Production
by: Fuad, Izzati Ahmad
Published: (2019) -
The effect of chemical treatment, fibre length, fibre content and injection moulding parameters to uv irradiation resistance of oil palm fibre reinforced composites
by: Fitri, Muhamad
Published: (2019)