Technological process automation of drinking water deodoration using the methods of machine learning

Abstract

Abstract The study presents an analysis and the possibility of applying machine learning methods to automate the technological process of drinking water deodorization. One of the most actual and popular machine learning methods today is the use of artificial neural networks. Possible neural network structures, activation functions and the number of neural connections were described. The relevance of the introduction of these methods into the system of water management is described.