Prediction Model in Electrodialysis Process Based on ANFIS

Guo Lin Jing; Wen Ting Du; Xiang Chen; Huan Yi

doi:10.4028/www.scientific.net/AMR.268-270.332

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 268-270Prediction Model in Electrodialysis Process Based...

Prediction Model in Electrodialysis Process Based on ANFIS

Abstract:

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.

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Periodical:

Advanced Materials Research (Volumes 268-270)

Pages:

332-335

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.268-270.332

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Online since:

July 2011

Authors:

Guo Lin Jing, Wen Ting Du, Xiang Chen, Huan Yi

Keywords:

ANFIS, Electrodialysis, Fuzzy System, Prediction Model

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References

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