Optimization of neural network architecture using particle swarm algorithm for dissolved oxygen modelling in a 200L bioreactor PHA production

• Main Authors: Mamat, Nor Hana, Mohd Noor, Samsul Bahari, Che Soh, Azura, 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/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/
• Institution: Universiti Putra Malaysia

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)...