Taking into account that the input and output layer of all three ANN models contains a single neuron, the optimal architecture of the multi-layer feed-forward back-propagation ANN for modeling of temperature dependence of the storage modulus E′(T), loss modulus E′′(T) and damping factor tan δ(T) of the investigated TPU at given constant frequency of its dynamic mechanical loading in the whole temperature range of its service life can be presented in numeric form as 1-14-1, 1-13-1 and 1-15-1, respectively [46].