Prediction model in electrodialysis process based on ANFIS

被引：0
|
作者：
Jing Guolin [1 ]
Du Wenting [1 ]
Chen Xiang [2 ]
Huan Yi [3 ]
机构：
[1] Northeastern Petr Univ, Coll Chem & Chem Engn, Daqing 163318, Peoples R China
[2] Daqing Oilfield Corp Ltd, Oil Recovery Plant No 10, Daqing 163500, Peoples R China
[3] Lubricating Oil Blending Plant, PetroChina Daqing No 2, Daqing 163411, Peoples R China
来源：
COMPUTATIONAL MATERIALS SCIENCE, PTS 1-3 | 2011年 / 268-270卷
关键词：
Electrodialysis; Fuzzy system; ANFIS; Prediction model; WATER;
D O I：
10.4028/www.scientific.net/AMR.268-270.332
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Fuzzy system is known to predict model in the electrodialysis process. This paper aimed to predict separation percent(SP) of NaCl solution as a function of concentration, temperature, flow rate and voltage. Besides, in the MATLAB, ANFIS(Adaptive Neuro-Fuzzy Inference System) based on Sugeno fuzzy model, its structure was similar to neural network and could generate fuzzy rules automatically. We obtained fitted values of SP by ANFIS. Then, we studied these influencing factors on fitted values of SP. Finally, we draw a conclusion that SP is in direct proportion to temperature and voltage, but in inverse proportion to concentration and flow rate.
引用
收藏
页码：332 / +
页数：2
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