Frequency and bias dependence of scattering parameters of microwave transistors can be successfully modelled by artificial neural networks. But, sharp changes in the frequency dependence of angle of a scattering parameter may result in inappropriate modelling accuracy in the vicinity of the frequency when sharp change occurs. In this paper we are discussing pre-processing of the training data in order to make modelling accuracy better. The proposed approach is illustrated by a suitable example.