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Prediction of settled water turbidity and optimal coagulant dosage in drinking water treatment plant using a hybrid model of -means clustering and adaptive neuro-fuzzy inference system

机译：-均值聚类与自适应神经模糊推理系统混合模型预测饮用水处理厂沉降水浊度和最佳混凝剂用量

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1. Modelling of COD removal in a biological wastewater treatment plant using adaptive neuro-fuzzy inference system and artificial neural network [J] . Civelekoglu G. - Yigit N. O. - Diamadopoulos E. - Kitis M. Water Science and Technology . 2009,第6期

机译：基于自适应神经模糊推理系统和人工神经网络的生物废水处理厂COD去除模型
2. Modelling of COD removal in a biological wastewater treatment plant using adaptive neuro-fuzzy inference system and artificial neural network [J] . Civelekoglu G, Yigit NO, Diamadopoulos E, Water Science and Technology . 2009,第6期

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3. A neural software sensor for online prediction of coagulant dosage in a drinking water treatment plant [J] . B. Lamrini, A. Benhammou, M.-V. Le Lann, Transactions of the Institute of Measurement and Control . 2005,第3期

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4. Prediction of Optimal Coagulant Dosage in a Water Treatment Plant Using Neural Networks [C] . N. Valentin, T. Denoeux Water quality technology conference;WQTC . 1999

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5. Comparing ferrous chloride and ferrous sulfate as secondary coagulants at the beaver water district drinking water treatment plant. [D] . Doyle, Jenny. 2014

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6. Neuro-fuzzy inference system Prediction of stability indices and Sodium absorption ratio in Lordegan rural drinking water resources in west Iran [O] . Afshin Takdastan, Majid Mirzabeygi (Radfard), Mahmood Yousefi, 2018

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Prediction of settled water turbidity and optimal coagulant dosage in drinking water treatment plant using a hybrid model of -means clustering and adaptive neuro-fuzzy inference system

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