Energy Optimization of Wastewater Cleaning Technologies
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Abstract
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).
DOI: https://doi.org/10.2478/jaes-2022-0023 | Journal eISSN: 2284-7197
Language: English
Page range: 173 - 178
Submitted on: Aug 30, 2022
Accepted on: Sep 10, 2022
Published on: Dec 21, 2022
Published by: University of Oradea, Civil Engineering and Architecture Faculty
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
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© 2022 G.L. Ionescu, Gabriella Böhm, published by University of Oradea, Civil Engineering and Architecture Faculty
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.