Object
Title: Artificial Neural Network as a Virtual Sensor of Nitrate Nitrogen (V) Concentration in an Activated Sludge Reactor
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Abstract:
The paper discusses the use of an artificial neural network to control the operation of wastewater treatment plants with activated sludge. The task of the neural network in this case is to calculate (predict) the readings of the probe measuring the concentration of nitrate nitrogen (V) in one of the biological reactor tanks. ; Neural networks are known for their ability to universal approximation of virtually any relationship, including the function of many variables, but the process of "training" the network requires the presentation of many sets of input data and corresponding expected results. This is a difficulty in the case of wastewater treatment plants, because some key process parameters are usually not measured online (samples are taken and measurements are taken in the laboratory), and even if they are, the time intervals are large. ; Bearing in mind the aforementioned difficulty, this work uses a set of input data consisting only of information that can be measured with measuring probes. As a result of the conducted experiments a high compliance of the probe`s prediction with the expected values was obtained. The paper also presents data preparation and the network "training" process.
Description:
tytuł dodatkowy: Prace z Inżynierii Lądowej i Środowiska
Publisher:
Zielona Góra: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
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Source:
Civil and Environmental Engineering Reports (CEER), no 30, vol. 4
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License CC BY-NC-ND 3.0:
Rights:
Biblioteka Uniwersytetu Zielonogórskiego
Object collections:
- Digital Library of Zielona Góra > Repository > Faculties > Construction department, Architecture and Environmental Engineering
- Digital Library of Zielona Góra > Repository > Types of work > Articles
- Digital Library of Zielona Góra > Repository > Scientific journals and UZ publishing series > Civil and Environmental Engineering Reports (CEER) > Civil and Environmental Engineering Reports (CEER) (2020)
Last modified:
Mar 24, 2023
In our library since:
Mar 24, 2023
Number of object content hits:
97
All available object's versions:
https://zbc.uz.zgora.pl/publication/79688
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Civil and Environmental Engineering Reports (CEER)
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Civil and Environmental Engineering Reports (CEER), no 33 (2023)
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Civil and Environmental Engineering Reports (CEER), no 32 (2022)
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Civil and Environmental Engineering Reports (CEER), no 31 (2021)
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Civil and Environmental Engineering Reports (CEER), no 30 (2020)
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Civil and Environmental Engineering Reports (CEER), no 30, vol. 1 (2020)
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Civil and Environmental Engineering Reports (CEER), no 30, vol. 2 (2020)
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Civil and Environmental Engineering Reports (CEER), no 30, vol. 3 (2020)
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Civil and Environmental Engineering Reports (CEER), no 30, vol. 4 (2020)
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- Artificial Neural Network as a Virtual Sensor of Nitrate Nitrogen (V) Concentration in an Activated Sludge Reactor
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Civil and Environmental Engineering Reports (CEER), no 19 (2015)
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Civil and Environmental Engineering Reports (CEER), no 18 (2015)
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Civil and Environmental Engineering Reports (CEER), no 16 (2015)
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Civil and Environmental Engineering Reports (CEER), no 15 (2014)
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Civil and Environmental Engineering Reports (CEER), no 14 (2014)
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Civil and Environmental Engineering Reports (CEER), no 13 (2014)
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Civil and Environmental Engineering Reports (CEER), no 9 (2012)
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Civil and Environmental Engineering Reports (CEER), no 7 (2011)
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Civil and Environmental Engineering Reports (CEER), no 5 (2010)
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Civil and Environmental Engineering Reports (CEER), no 4 (2010)
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Civil and Environmental Engineering Reports (CEER), no 3 (2009)
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Civil and Environmental Engineering Reports (CEER), no 2 (2007)
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Civil and Environmental Engineering Reports (CEER), no 1 (2005)
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Civil and Environmental Engineering Reports (CEER), no 33 (2023)
| Edition name | Date |
|---|---|
| Artificial Neural Network as a Virtual Sensor of Nitrate Nitrogen (V) Concentration in an Activated Sludge Reactor | Mar 24, 2023 |
