The variations of the storage  modulus, loss modulus and damping factor with temperature, obtained from the dynamic  mechanical analysis tests across transition temperatures at constant single frequency of its dynamic  mechanical loading, have been modeled by three models of well-trained, multi-layer feed-forward  back-propagation artificial neural network, utilizing the Levenberg–Marquardt learning algorithm,  with one hidden layer, the hyperbolic tangent sigmoid transfer function between the input and  hidden layers, and the pure linear function between the hidden and output layers.