Prediction of membrane fouling in the pilot-scale microfiltration system using genetic programming

@inproceedings{Lee2009PredictionOM,
  title={Prediction of membrane fouling in the pilot-scale microfiltration system using genetic programming},
  author={Tae-Mun Lee and Hyunje Oh and Youn-kyoo Choung and Sanghoun Oh and Moongu Jeon and Joon Ha Kim and Sook Hyun Nam and Sangho Lee},
  year={2009}
}
Abstract In the recent past, machine learning (ML) techniques such as artificial neural networks (ANN) or genetic algorithm (GA) have been increasingly used to model membrane fouling and performance. In the present study, we select genetic programming (GP) for modeling and prediction of the membrane fouling rate in a pilot-scale drinking water production system. The model used input parameters for operating conditions (flow rate and filtration time) and feed water quality (turbidity… CONTINUE READING