Decision Variables Selection of Aluminum Electrolytic Process Based on FNN and RM

To establish an accurate model of aluminum electrolytic process, an novel variable selection strategy is proposed based on the false nearest neighbors (FNN) and randomization method (RM), which is abbreviated as FR. Firstly, the FNN is used to calculate the similarity measure of the respective variable; secondly, the RM is employed to test the significance level of each variable in turn; lastly, technical energy consumption model is established to verify the proposed method. The experimental results show that the method selects the best decision-making variables. Therefore, it provides a new method for the variable selection for complex industrial process.