E/C/22. Dissertation. MODELLING ACTIVATED SLUDGE TREATMENT PROCESS USING NEURAL NETWORKS

The dissertation investigates the value of neural networks in the dynamic modelling of wastewater treatment focusing on the problem of the activated sludge and reporting on the development of a computer program capable of monitoring the process. Information is provided about the stages of the project lifecycle, the history of the neural network development and applications, the analysis of the models and their components, etc. Conclusions are made about the advanced methods of sludge treatment via the neural network model; future areas of related research are outlined.