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

Li Zhong Yao; Tai Fu Li; De Yong Wu; Ying Ying Su; Jun Yi

doi:10.4028/www.scientific.net/AMR.765-767.469

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 765-767Decision Variables Selection of Aluminum...

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

Abstract:

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.

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Periodical:

Advanced Materials Research (Volumes 765-767)

Pages:

469-472

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.765-767.469

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Online since:

September 2013

Authors:

Li Zhong Yao, Tai Fu Li, De Yong Wu, Ying Ying Su, Jun Yi

Keywords:

False Nearest Neighbors, Randomization Method, Variable Selection

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