作者
Sima Porhemmat, Mehrorang Ghaedi, Ali Reza Rezvani, Mohammad Hossein Ahmadi Azqhandi, Ali Akbar Bazrafshan
发表日期
2017/9/1
期刊
Ultrasonics Sonochemistry
卷号
38
页码范围
530-543
出版商
Elsevier
简介
S-doped and Cu- and Co-doped TiO2 was synthesized by a sol–gel method and characterized by FE-SEM, XRD, EDX and FTIR. The Co/Cu/S-TiO2 nanocomposite loaded on the activated carbon as new nanoadsorbent was used for simultaneous removal of methylene blue (MB) and sunset yellow (SY) from aqueous solution by ultrasonic-assisted adsorption method. In this work, central composite design (CCD) and adaptive neuro-fuzzy inference system (ANFIS) as a support tool for examining data and making prediction are used to recognize and predict the removal percentage in MB and SY dye solution of different concentrations. The predictive capabilities of CCD and ANFIS are compared in terms of square correlation coefficient (R2), root mean square error (RMSE), mean absolute error (MAE) and absolute average deviation (AAD) against the empirical data. It is found that the ANFIS model shows the better …
引用总数
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