Neural networks for bioreactor control solutions
The use of machine learning has the potential to improve the control of bioreactors. The aim of this research was to use self-organising Kohonen maps based on algorithms built from the composition of the taxonomic structure of the bioreactor. By adjusting the weights of the map neurons, we can infer...
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| Main Authors: | Miroshnikov Sergey, Ryazanov Vitaliy, Proskurin Dmitry, Sheida Elena, Miroshnikov Ivan, Ovechkin Maxim, Duskaev Galimzhan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2024-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/122/e3sconf_emmft2024_03018.pdf |
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