International Journal of Environmental Sciences

Volume 2 Issue 4 2012           Pages:1944- 1951

Back Propagation Neural Network Modeling Approach in the Anaerobic Digestion of Wastewater Treatment

Author Information:

Rangasamy Parthiban  Professor & Head, Department of Chemical Engineering, Sri Venkateswara College of Engineering, Sriperumbudur, India

Latha Parthiban Assistant Professor, Department of Computer Science, Pondicherry University, Kalapet, Puducherry


In this paper, the use of back propagation neural network for modeling is investigated from the experimental values obtained in a laboratory scale system of anaerobic tapered fluidized bed reactor. The input parameters considered for modeling are four inputs, flow of influent, CODin, pHin, hydraulic retention time and two outputs viz., CODout, CH4 gas yield. Back propagation neural network has great adaptability to the variations of system configuration and operation condition and the prediction results are found to be closer to the experimental results.

Keywords: Neural Network, Anaerobic Digestion, Modeling

DOI: 10.6088/ijes.00202030078

© 2012 Copyright Rangasamy Parthiban and Latha Parthiban, licensee IPA.This is an open access article distributed under the Creative Commons Attribution License (2.0) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The electronic version of the article can be downloaded below.

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