O artykule
Data publikacji: 21 gru 2022
Zakres stron: 173 - 178
Otrzymano: 30 sie 2022
Przyjęty: 10 wrz 2022
DOI: https://doi.org/10.2478/jaes-2022-0023
Słowa kluczowe
© 2022 G.L. Ionescu et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The paper presents the main methods of energy optimization of the purification processes, by implementing computer-based technologies. Both the process control possibilities using fuzzy logic, for situations where the process model is not very certain, but it must be well known, as well as the use of feed-forward artificial neural networks trained by the back-propagation method using the learning mechanism are reviewed and supervised (using the Matlab program).