Modeling for the Clarifying Process of Sugar Mills with ESN

摘要

Sugar industry is one of the pillar industries in Guangxi of China. The control of sugar clarifying processing directly related to the quality of the sugar. An accurate and effective model is the premise. Due to the characteristics of strong coupling and larger time-delay, it is difficult to model this process based on the mechanism. In this paper, Echo State Network (ESN) based on data is introduced to model this process. The simulation results show that the model based on ESN can reflect the clarification process of sugar mill well.