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The study of aquatic systems is an extremely important issue in the context of saving. natural resources. In this respect, the description of the evolution over time and the dynamics of some status parameters describing the dynamic aquarium system is a rather difficult problem. This paper presents a method of representing evolution over time and some status parameters that allow assessment of the status of an aquatic system. The method outlined in the paper is based on the use of automated automatic neural network...