The course of calf suction process was mapped with artificial intelligence methods in terms of negative pressure control in an autonomous milking cluster. A Sugeno-type fuzzy model was applied. The parameters were selected with the training method based on actual process graphs. Findings of a computer simulation in the MATLAB-SimulinkŽ program were illustrated graphically, reflecting the nature of the phenomena. The model error of 6% shows its positive verification.
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