This work aimed at an investigation of temperature dependencies of the observed visco-elastic parameters E′(T), E′′(T), and of tan δ(T) of the investigated TPU at a given constant frequency of its dynamic mechanical loading, three multi-layer feed-forward artificial neural network models were created utilizing the error back-propagation learning algorithm with an architecture consisting of one input, one hidden and one output layer [28].