Mufti-model Soft Modeling Based on Clustering in Evaporation Process

Authors

Peng Chen, 1. She Wai School, Central South University of Forestry and Technology, Changsha 410004, China;;
Xiaoshan Qian, 2. Physical Science and Technology College, Yichun University, Yichun 336000, China;;3. School of Information Science & Engineering, Central South University, Changsha 410083, China;

Abstract

Abstract: Based on the idea approach based on multi-model with a stronger robustness and precision, combining with strong coupling and the highly nonlinear characteristics in multi-effect evaporation process, a soft sensor modeling method of fuzzy kernel clustering was proposed based on differential evolution and multi-squares support vector machines. The method made clustering samples under different conditions by use of DE-KFCM, each sub-models were constructed using LSSVM using fuzzy clustering algorithm to cluster the input data under different conditions, and finally get the system output by weighting. Taking alumina evaporation process as an example, for the soft sensor modeling of export of feed concentration, the better results have been obtained.

Recommended Citation

Chen, Peng and Qian, Xiaoshan (2020) "Mufti-model Soft Modeling Based on Clustering in Evaporation Process," Journal of System Simulation: Vol. 27: Iss. 9, Article 17.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol27/iss9/17

First Page

2050

Revised Date

2015-07-03

DOI Link

https://doi.org/

Last Page

2055

CLC

TP18

Recommended Citation

Peng Chen, Qian Xiaoshan. Mufti-model Soft Modeling Based on Clustering in Evaporation Process[J]. Journal of System Simulation, 2015, 27(9): 2050-2055.