Artificial Neural Network Modeling for Biological Removal of Organic Carbon and Nitrogen from Slaughterhouse Wastewater in a Sequencing Batch Reactor
Joint Authors
Debsarkar, Anupam
Kundu, Pradyut
Mukherjee, Somnath
Source
Advances in Artificial Neural Systems
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-12
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Information Technology and Computer Science
Abstract EN
The present paper deals with treatment of slaughterhouse wastewater by conducting a laboratory scale sequencing batch reactor (SBR) with different input characterized samples, and the experimental results are explored for the formulation of feedforward backpropagation artificial neural network (ANN) to predict combined removal efficiency of chemical oxygen demand (COD) and ammonia nitrogen (NH4+-N).
The reactor was operated under three different combinations of aerobic-anoxic sequence, namely, (4 + 4), (5 + 3), and (5 + 4) hour of total react period with influent COD and NH4+-N level of 2000 ± 100 mg/L and 120 ± 10 mg/L, respectively.
ANN modeling was carried out using neural network tools, with Levenberg-Marquardt training algorithm.
Various trials were examined for training of three types of ANN models (Models “A,” “B,” and “C”) using number of neurons in the hidden layer varying from 2 to 30.
All together 29, data sets were used for each three types of model for which 15 data sets were used for training, 7 data sets for validation, and 7 data sets for testing.
The experimental results were used for testing and validation of three types of ANN models.
Three ANN models (Models “A,” “B,” and “C”) were trained and tested reasonably well to predict COD and NH4+-N removal efficiently with 3.33% experimental error.
American Psychological Association (APA)
Kundu, Pradyut& Debsarkar, Anupam& Mukherjee, Somnath. 2013. Artificial Neural Network Modeling for Biological Removal of Organic Carbon and Nitrogen from Slaughterhouse Wastewater in a Sequencing Batch Reactor. Advances in Artificial Neural Systems،Vol. 2013, no. 2013, pp.1-15.
https://search.emarefa.net/detail/BIM-458887
Modern Language Association (MLA)
Kundu, Pradyut…[et al.]. Artificial Neural Network Modeling for Biological Removal of Organic Carbon and Nitrogen from Slaughterhouse Wastewater in a Sequencing Batch Reactor. Advances in Artificial Neural Systems No. 2013 (2013), pp.1-15.
https://search.emarefa.net/detail/BIM-458887
American Medical Association (AMA)
Kundu, Pradyut& Debsarkar, Anupam& Mukherjee, Somnath. Artificial Neural Network Modeling for Biological Removal of Organic Carbon and Nitrogen from Slaughterhouse Wastewater in a Sequencing Batch Reactor. Advances in Artificial Neural Systems. 2013. Vol. 2013, no. 2013, pp.1-15.
https://search.emarefa.net/detail/BIM-458887
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-458887