The variations of storage modulus, loss modulus and loss tangent with temperature and frequency, acquired from the dynamic mechanical analysis of thermoplastic polyurethane, have been modeled by a single model of a well-trained radial basis artificial neural network with Gaussian radial basis function as activation function of hidden layer neurons and the linear transfer function of output neurons.