A neural network model of the hydrodynamics of a pipeline was built using the Wolfram Mathematica to determine the pressure loss along the length. The choice of the structure of artificial neural networks and algorithms for their training and testing is carried out. The pressure losses were determined by experimental and calculated methods at different speeds of water movement. By comparing the obtained experimental values with the calculated ones, the adequacy of the neural network model is estimated. The neural network model can be used to determine the resistance of pipelines, analyse the influence of the flow rate on the track pressure losses of a pipeline and the features of the use of artificial neural networks for predicting the hydrodynamics of the pipeline network.
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