Developing artificial neural network models of water treatment processes : a guide for utilities

@inproceedings{Baxter2002DevelopingAN,
  title={Developing artificial neural network models of water treatment processes : a guide for utilities},
  author={Chris Baxter and Sally J. Stanley and Qian T. Zhang and Daniel D W Smith},
  year={2002}
}
Because of the complex nature of drinking water treatment unit processes, utilities have difficulty quantifying the interactions and relationships that exist between process inputs and process outputs. Process models, where they exist, are often site specific and are unable to simultaneously handle continuous variations in more than one or two key process variables. The artificial neural network (ANN) technology is a robust artificial intelligence technology that can handle the complex and… CONTINUE READING
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