Corpus ID: 15778853

Prediction of Dissolved Oxygen Using Artificial Neural Network

@inproceedings{AreerachakulPredictionOD,
  title={Prediction of Dissolved Oxygen Using Artificial Neural Network},
  author={Sirilak Areerachakul and Prem Junsawang and Auttapon Pomsathit}
}
Abstract. The paper is concerned with the use of a neural network model for the prediction of dissolved oxygen in canals. The neural network model is developed using experimental data which are obtained from the Department of Drainage and Sewerage, Bangkok Metropolitan Administration, during 2006-2008. The input parameters of the neural network are pH value (pH), biochemical oxygen demand (BOD), chemical oxygen demand (COD), substance solid (SS), total kjeldahl nitrogen (TKN), ammonia nitrogen… CONTINUE READING

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