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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:	Mamat, Nor Hana, Mohd Noor, Samsul Bahari, Che Soh, Azura, Ab Rashid, Ahmad Hazri, Jufika Ahmad, Nur Liyana, Mohd Yusuff, Ishak
フォーマット:	Conference or Workshop Item
言語:	English
出版事項:	IEEE 2018
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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