The task of the raw material blending process in a cement factory is to mix the raw materials in order to produce cement raw meal for the kiln. One of the fundamental problems in the cement manufacture is ensuring that the cement raw meal Is of the appropriate chemical composition. A raw meal with a good fineness and well-controlled chemical composition can improve the cement quality and the kiln operation performance. For achieving this purpose, an appropriate modeling of process is the first step to design a control system for the process. This paper summarizes the study of modeling the raw material blending process using intelligent techniques and comparison of results with classical system identification methods.