辛烯基琥珀酸酐淀粉吸附头孢氨苄(CFX)的自适应神经模糊推理系统

2018 International Conference on Applied Smart Systems (ICASS) Pub Date : 2018-11-01 DOI:10.1109/icass.2018.8652072

S. Rebouh, M. Bouhedda, S. Lefnaoui, M. M. Yahoum, S. Hanini

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引用次数: 1

摘要

采用自适应神经模糊干扰(ANFIS)系统模拟了辛烯基丁二酸酐OSA淀粉作为两亲性多糖吸附剂吸附去除头孢氨苄抗生素(CFX)的过程。考察了接触时间、pH、温度、asa - starch投加量等参数的影响。这些参数被认为是ANFIS系统的输入，而输出是每质量单位OSA淀粉吸附头孢氨苄的量。预测值与实验结果非常接近，相关系数$(R^{2})$为0.998,MSE $1.64\乘以10^{-}14$。结果表明，ANFIS模型可以有效地预测和模拟吸附过程。

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Adaptive Neuro-Fuzzy Inference System for Modeling the Cephalexin (CFX) Adsorption on the Octenyl Succinic Anhydride Starch

Adaptive neuro-fuzzy interference (ANFIS) system is applied to modeling the removal of cephalexin antibiotic (CFX) by adsorption using the Octenyl succinic anhydride OSA Starch as amphiphilic polysaccharidique adsorbent. The effects of various parameters such as contact time, pH, temperature, and OSA-Starch dosage were investigated. These parameters are considered as intputs for the ANFIS system, while the output is the amount of adsorbed cephalexin per mass unit of OSA starch. The predicted values are very similar to the experimental results with correlation coefficient $(R^{2})$ of 0.998 and MSE $1.64\times 10^{-}14$. The results showed that ANFIS modeling could effectively predict and simulate the adsorption process.

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2018 International Conference on Applied Smart Systems (ICASS)

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