International Journal of Environmental Sciences

Volume 2 Issue 3 2012           Pages:1504- 1511

Multilayer perceptron modeling for UASB Reactor treating tannery effluent

Author Information:

Parthiban.R - Department of Chemical Engineering, Sri Venkateswara College of Engineering, Sriperumbudur, India

Latha Parthiban -Department of Computer Science & Engineering, SSN College of Engineering, Kalavakkam, Chennai, India

Porselvam.S -Scientist, Environmental Technology Division, Central Leather Research Institute, Chennai, India

Ravindranath.E -Scientist, Environmental Technology Division, Central Leather Research Institute, Chennai, India

In this paper, the use of multilayer perceptron neural network for modeling is investigated for a bench scale system of up-flow anaerobic sludge blanket (UASB) reactor. The system study is the anaerobic digestion of synthetic wastewater derived from the starch processing industries. The experiment is carried out in a bench scale Up-flow Anaerobic Sludge Blanket reactor. It is proven that multilayer perceptron modeling has great adaptability to the variations of system configuration and operation condition. Multilayer perceptron neural network is trained with the experimental values obtained. The output parameters predicted for respective inputs have been found to be very much closer to the corresponding experimental ones and the model was validated by replicative testing.

Keywords : Artificial Neural Network, Multilayer Perceptron, UASB, Biomethanization

DOI: 10.6088/ijes.00202030035

© 2012 Copyright Parthiban.R et al, 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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