Machine learning algorithm and neural network architecture for optimization of pharmaceutical and drug manufacturing industrial effluent treatment using activated carbon derived from breadfruit (Treculia africana)
| Title: | Machine learning algorithm and neural network architecture for optimization of pharmaceutical and drug manufacturing industrial effluent treatment using activated carbon derived from breadfruit (Treculia africana) |
۰
استنادات
 |
| Author(s): | Ovuoraye, P.E., Ugonabo, V.I., Fetahi, E., (...), Igwegbe, C.A., Dehghani, M.H. | |
| Published/Type: | 2023 (2023-12-1) / Original Article | |
| Journal: | Journal of Engineering and Applied Science, 70(1),138 | |
| Abstract:
|
In a recent development, attention has shifted to the application of artificial intelligence for the optimization of wastewater treatment processes. This research compared the performances of the machine learning (ML) model: random forest, decision tree, support vector machine, artificial neural network, convolutional neural network, long-short term memory, and multiple linear regressors for optimization in effluent treatment. The training, testing, and validation datasets were obtained via the design... | |
| Collaborations: |  .jpg){kind=small}     |
|
| View at: | https://jeas.springeropen.com/articles/10.1186/s44147-023-00307-4 | |
