Predicting real-time coagulant dosage in water treatment by artificial neural networks and adaptive network-based fuzzy inference system

Author:

Wu Guan-De,Lo Shang-Lien

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference18 articles.

1. Decision algorithm based on data mining for coagulant type and dosage in water treatment systems;Bae;Water Science and Technology,2006

2. Development of a fullscale artificial neural network model for the removal of natural organic matter by enhanced coagulation;Baxter;Journal of Water Supply Research and Technology—Aqua,1999

3. Optimizing feedforward artificial neural network architecture;Benardos;Engineering Applications of Artificial Intelligence,2007

4. Fuzzy model identification and control system design for coagulation chemical dosing of potable water;Chen;Water Science and Technology: Water Supply,2006

5. Application of ANFIS for coagulant dosing process in a water purification plant;Chun,1999

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