Optimizing neural network algorithms for submerged membrane bioreactor: A comparative study of OVAT and RSM hyperparameter optimization techniques
Hyperparameter tuning is an important process to maximize the performance of any neural network model. This present study proposed the factorial design of experiment for screening and response surface methodology to optimize the hyperparameter of two artificial neural network algorithms. Feed-forwar...
| Autori principali: | , |
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| Natura: | Articolo |
| Lingua: | English |
| Pubblicazione: |
IWA Publishing
2024-04-01
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| Serie: | Water Science and Technology |
| Soggetti: | |
| Accesso online: | http://wst.iwaponline.com/content/89/7/1701 |