Journal of Civil and Environmental Engineering

ISSN: 2165-784X

Open Access

Gayathri S Mohan


  • 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

Relevant Topics

arrow_upward arrow_upward