Whereas, the artificial neural networks (ANNs) are, in general, excellent universal approximators not only of linear but also of non-linear functional dependencies between dependent and independent variables [18], it is quite natural to assume that temperature dependence of the loss modulus E′′(T) and damping factor tan δ(T), as well as that of the storage modulus E′(T), could be successfully modeled right by them.