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...
| मुख्य लेखक: | Chai, Wan Ying |
|---|---|
| स्वरूप: | थीसिस |
| भाषा: | अंग्रेज़ी अंग्रेज़ी |
| प्रकाशित: |
2023
|
| विषय: | |
| ऑनलाइन पहुंच: | https://eprints.ums.edu.my/id/eprint/40554/1/24%20PAGES.pdf https://eprints.ums.edu.my/id/eprint/40554/2/FULLTEXT.pdf |
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समान संसाधन
-
Real Time Implementation Of Nonlinear Autoregressive With Exogenous Input Model Predictive Control For Batch Enzymatic Esterification Process
द्वारा: Zulkeflee, Siti Asyura
प्रकाशित: (2017) -
Optimisation and control of fed-batch yeast production using q-learning
द्वारा: Helen, Chuo Sin Ee
प्रकाशित: (2013) -
Stochastic Modelling Of Bioethanol Fermentation By Saccharomyces Cerevisiae Grown In Oil Palm Residues
द्वारा: Samsudin , Mohd Dinie Muhaimin
प्रकाशित: (2015) -
Optimization Of Coconut Husk Fermentation By Pycnoporus Sanguineus Using Taguchi Method For Laccase Production
द्वारा: Fuad, Izzati Ahmad
प्रकाशित: (2019) -
Optimization Of Coconut Husk Fermentation By Pycnoporus Sanguineus Using Taguchi Method For Laccase Production
द्वारा: Fuad, Izzati Ahmad
प्रकाशित: (2019)