Use of neural networks to optimize biological treatment processes

Marian Dordescu; Carmen Dumitrescu

doi:10.1117/12.2642468

2 March 2023 Use of neural networks to optimize biological treatment processes

Marian Dordescu, Carmen Dumitrescu

Proceedings Volume 12493, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies XI; 124931I (2023) https://doi.org/10.1117/12.2642468
Event: Advanced Topics in Optoelectronics, Microelectronics and Nanotechnologies 2022, 2022, Constanta, Romania

Abstract

The control of biological wastewater treatment can still be considered an open problem in the literature due to the difficulty of meeting environmental standards. The main objective of the biological treatment of wastewater is the removal of non-sedimentable organic solids, the stabilization of organic matter in sludge and the reduction of nutrients based on nitrogen and phosphorus. Knowing the complex structure of the biological purification process, the success of the command and control operation requires the division of the phenomena that occur according to the main effects and their nature. In this paper, an artificial neural network is used to optimize the biological purification process. The chosen network is feedforward and was driven by the backpropagation method using the supervised learning mechanism. The neuronal optimizer works at a higher hierarchical level than automatic regulation.

Citation Download Citation

Marian Dordescu and Carmen Dumitrescu "Use of neural networks to optimize biological treatment processes", Proc. SPIE 12493, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies XI, 124931I (2 March 2023); https://doi.org/10.1117/12.2642468

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