Prediction of the optimal dosage of coagulants in water treatment plants through developing models based on artificial neural network fuzzy inference system (ANFIS)

Author:

Narges Shakeri,Ghorban AsgariORCID,Hassan KhotanlouORCID,Mohammad KhazaeiORCID

Funder

Hamadan University of Medical Sciences

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health,Pollution,Waste Management and Disposal,Water Science and Technology,Applied Microbiology and Biotechnology,Environmental Engineering

Reference32 articles.

1. Kawamura S. Integrated design and operation of water treatment facilities. Hoboken: Wiley; 2000.

2. Hua L, Changtao L, Lin-lin C, Tuo L (2015) Research of fuzzy control in coagulation progress for tap water. 2015 Chinese Automation Congress (CAC). New York: IEEE; 2015. pp. 170–3.

3. Sohrabi Y, Rahimi S, Nafez AH, Mirzaei N, Bagheri A, Ghadiri SK, et al. Chemical coagulation efficiency in removal of water turbidity. Int J Pharm Res. 2018;10(3):188–94.

4. Ratnaweera H, Fettig J. State of the art of online monitoring and control of the coagulation process. Water. 2015;7(11):6574–97.

5. Association AWW. Operational control of coagulation and filtration processes. AWWA Manual M. 1992.

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