摘要：The Prussian carp represents a valuable food resource in Danube Delta, and also, it is a well-known bioindicator for monitoring the pollution of the aquatic environment. The aim of the present paper is to apply the neuro-adaptive techniques, to obtain fast and economic sustainable results for the prediction of magnesium (Mg) and calcium (Ca) concentrations in the muscle and hepatic tissues of Carassius gibelio. Adaptive Neuro-Fuzzy Inference Systems (ANFIS) require validated data sets for the development of intelligent models. Thus, within this paper the prediction of Ca and Mg in the muscle tissue of the Prussian carp has been generated. Model training, testing and validation was realized based on results obtained after samples analysis in the laboratory. The results registered in this study confirm the efficiency of ANFIS models use for the fast prediction of macro-elements in fish tissues. Further investigation is required in order of optimize the prediction methodology.
