Machine learning algorithm and neural network architecture for optimization of pharmaceutical and drug manufacturing industrial effluent treatment using activated carbon derived from breadfruit
|
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) |
|
|
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: |
||
|
Abstract: FWCI: 1.6
|
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: |
   |
|
|
View at: |
https://jeas.springeropen.com/articles/10.1186/s44147-023-00307-4 |
|
Send to friends