A SIMULATION OF THE PENICILLIN G PRODUCTION BIOPROCESS APPLYING NEURAL NETWORKS
The production of penicillin G by Penicillium chrysogenum IFO 8644 was simulated employing a feedforward neural network with three layers. The neural network training procedure used an algorithm combining two procedures: random search and backpropagation. The results of this approach were very promi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Brazilian Society of Chemical Engineering
1997-12-01
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| Series: | Brazilian Journal of Chemical Engineering |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66321997000400004 |