A steady-statemathematical model of an activated sludgeprocess with a secondary settler was developed. With a limited number of training data samples obtained from the simulation at steady state, a feedforward neural network was established which exhibits an excellent capability for the operational prediction and determination.

Activated sludge, steady-state operation, neural networks, operational determination, feedforward control
This content is only available as a PDF.
© IWA Publishing 1992
You do not currently have access to this content.