Optimization of neural network architecture using particle swarm algorithm for dissolved oxygen modelling in a 200L bioreactor PHA production
In a polyhydroxyalkanoates (PHA) production, optimized fermentation process helps in reducing overall cost by increasing productivity. Dissolved oxygen (DO) concentration influences growth rate which in turn affect the PHA production rate. Data driven technique using artificial neural network (ANN)...
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| 主要な著者: | , , , , , |
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| フォーマット: | Conference or Workshop Item |
| 言語: | English |
| 出版事項: |
IEEE
2018
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| オンライン･アクセス: | http://psasir.upm.edu.my/id/eprint/69133/1/Optimization%20of%20neural%20network%20architecture%20using%20particle%20swarm%20algorithm%20for%20dissolved%20oxygen%20modelling%20in%20a%20200L%20bioreactor%20PHA%20production.pdf http://psasir.upm.edu.my/id/eprint/69133/ |
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