Refining process is one of the most energy consuming and low efficiency processes in papermaking. Nowadays there are no mathematical equations and a good theory of this process and consequently, there is no possibility to predict final paper properties directly from refining parameters. On this basis, analysis of this process using neural network was carried out. The aim of the work was to find the relations between technological factors with pulp properties.