Studying Fitting Effect by ANFIS in the Electrodialysis Process

Autor: Quan Zhou, Wen Ting Du, Song Tao Li, Guo Lin Jing
Rok vydání: 2011
Předmět:
Zdroj: Advanced Materials Research. :336-339
ISSN: 1662-8985
DOI: 10.4028/www.scientific.net/amr.268-270.336
Popis: Fuzzy system is known to predict model in the electrodialysis process. This paper aimed to study fitting effect by ANFIS in a laboratory scale ED cell. Separation percent of NaCl solution is mainly as a function of concentration, temperature, flow rate and voltage. Besides, ANFIS(Adaptive Neuro-Fuzzy Inference System) based on Sugeno fuzzy model, its structure was similar to neural network and could generate fuzzy rules automatically, using the error back propagation algorithm and least square method to adjust the parameters of fuzzy inference system. We obtained fitted values of separation percent by ANFIS. Separation percent from experiments compared with the fitted values of separation percent. The result is shown that the correlation coefficient is 0.988. Therefore, it is verified as a good performance in the electrodialysis process.
Databáze: OpenAIRE