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Volume 40 Issue 6
Sep.  2022
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RUI Dongni, MA Yanyan, YE Lin. APPLICATION OF MACHINE LEARNING METHODS IN WASTEWATER TREATMENT SYSTEMS[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(6): 145-153. doi: 10.13205/j.hjgc.202206019
Citation: RUI Dongni, MA Yanyan, YE Lin. APPLICATION OF MACHINE LEARNING METHODS IN WASTEWATER TREATMENT SYSTEMS[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(6): 145-153. doi: 10.13205/j.hjgc.202206019

APPLICATION OF MACHINE LEARNING METHODS IN WASTEWATER TREATMENT SYSTEMS

doi: 10.13205/j.hjgc.202206019
  • Received Date: 2021-12-21
    Available Online: 2022-09-01
  • Publish Date: 2022-09-01
  • Wastewater treatment systems are usually very complicated and may be affected by many external factors.Therefore,control and management of these systems are always one of the great challenges in environmental engineering.Traditional controlling and managing approaches could not meet the needs of the increasingly complex wastewater treatment facilities.While the recently-developed machine learning methods provide a series of effective solutions for such problems.This article introduces the characteristics of machine learning methods,including artificial neural networks,support vector machines,random forests,etc.,and explains the application of machine learning methods in the field of wastewater treatment systems from three aspects,i.e.water quality prediction and early warning,wastewater treatment system fault diagnosis and intelligent control.The advantages of machine learning methods and the challenges of their applications in wastewater treatment systems are also presented.In addition,the future development trends of machine learning methods in the field of wastewater treatment are outlined.
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