Journal of Civil and Environmental Engineering

Amrutha Vijayan

Publications

• Research Article
  Prediction of Effluent Treatment Plant Performance in a Diary Industry Using Artificial Neural Network Technique
  Author(s): Amrutha Vijayan and Gayathri S MohanAmrutha Vijayan and Gayathri S Mohan
  
  Use of Artificial Neural Network (ANN) models is progressively increasingly to predict waste water treatment plant variables. This forecasting helps the operators to take corrective action and manage the process accordingly as per the norms. It is a proved useful device to surmount a few of the limitations of usual mathematical models for wastewater treatment plants for the reason that of their complex mechanisms, changing aspects-dynamics and inconsistency. This analysis considers the relevance of ANN techniques to predict influent and effluent biochemical oxygen demand (BOD), Chemical Oxygen Demand (COD), Total suspended solids (TSS) for effluent treatment process. Here, a feed forward ANN, using a back propagation learning algorithm, has been applied for predicting effluent BOD, COD, TSS. After collecting historical plant data from effluent treatment plant at Diary industry. The su.. Read More»
  DOI: 10.4172/2165-784X.1000254

  Abstract PDF