scholarly journals Soft-sensing model of temperature for aluminum reduction cell on improved twin support vector regression

2018 ◽  
Author(s):  
Tao Li
Keyword(s):  
Support Vector Regression ◽  
Aluminum Reduction Cell ◽  
Support Vector ◽  
Twin Support Vector Regression ◽  
Soft Sensing ◽  
Aluminum Reduction ◽  
Reduction Cell ◽  
Sensing Model

scholarly journals An ELM Based Online Soft Sensing Approach for Alumina Concentration Detection

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Sen Zhang ◽  
Xi Chen ◽  
Yixin Yin
Keyword(s):  
Extreme Learning Machine ◽  
Random Search ◽  
Aluminum Reduction Cell ◽  
Online Measurement ◽  
Alumina Concentration ◽  
Soft Sensing ◽  
Aluminum Reduction ◽  
Reduction Cell ◽  
Learning Machine ◽  
The Stability

The concentration of alumina in the electrolyte is of great significance during the production of aluminum; it may affect the stability of aluminum reduction cell and the current efficiency. However, the concentration of alumina is hard to be detected online because of the special circumstance in the aluminum reduction cell. At present, there is lack of fast and accurate soft sensing methods for alumina concentration and existing methods can not meet the needs for online measurement. In this paper, a novel soft sensing method based on a modified extreme learning machine (MELM) for online measurement of the alumina concentration is proposed. The modified ELM algorithm is based on the enhanced random search which is called incremental extreme learning machine in some references. It randomly chooses the input weights and analytically determines the output weights without manual intervention. The simulation results show that the approach can give more accurate estimations of alumina concentration with faster learning speed compared with other methods such as BP and SVM.

Research on the Penetration Depth in Aluminum Reduction Cell with New Type of Anode and Cathode Structures

JOM ◽  
2014 ◽  
Vol 66 (7) ◽  
pp. 1202-1209 ◽  
Author(s):  
Liu Yan ◽  
Li Yudong ◽  
Zhang Ting’an ◽  
Feng Naixiang
Keyword(s):  
Penetration Depth ◽  
Aluminum Reduction Cell ◽  
Aluminum Reduction ◽  
Reduction Cell ◽  
New Type

An adaptive twin support vector regression machine based on rough and fuzzy set theories

2018 ◽  
Vol 32 (9) ◽  
pp. 4709-4732
Author(s):  
Zhenxia Xue ◽  
Roxin Zhang ◽  
Chuandong Qin ◽  
Xiaoqing Zeng
Keyword(s):  
Support Vector Regression ◽  
Fuzzy Set ◽  
Support Vector ◽  
Twin Support Vector Regression
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