Effectiveness of different artificial neural network models in establishing the suitable dosages of coagulant and chlorine in water treatment works

HIGHLIGHTS

• What: The determination of both coagulant and chlorine dosages frequently changes as inlet water quality varies which demands extensive laboratory analyses leading to prolonged experimentation periods in water treatment So objective of the study is to develop the precise relationship between coagulant dose and chlorine dose in a water treatment plant by using an artificial neural network (ANN). In this study, many ANN models for the establishment of the relationship between the Coagulant and Chlorine Dose are developed.
• Who: Dnyaneshwar V. Wadkar and collaborators from the Department of Civil Engineering, AISSM`S College of Engineering . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.