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Modeling of submerged membrane bioreactor treating cheese whey wastewater by artificial neural network

Paper ID Volume ID Publish Year Pages File Format Full-Text
25653 43588 2006 6 PDF Available
Title
Modeling of submerged membrane bioreactor treating cheese whey wastewater by artificial neural network
Abstract

A submerged membrane bioreactor receiving cheese whey was modeled by artificial neural network and its performance over a period of 100 days at different solids retention times was evaluated with this robust tool. A cascade-forward network was used to model the membrane bioreactor and normalization was used as a preprocessing method. The network was fed with two subsets of operational data, with two-thirds being used for training and one-third for testing the performance of the artificial neural network. The training procedure for effluent chemical oxygen demand (COD), ammonia, nitrate and total phosphate concentrations was very successful and a perfect match was obtained between the measured and the calculated concentrations. The results of the confirmation (or testing) procedure for effluent ammonia and nitrate concentrations were very successful; however, the results of the confirmation procedure for effluent COD and total phosphate concentrations were only satisfactory.

Keywords
Submerged membrane bioreactor; Cheese whey; Artificial neural network; Cascade-forward network
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Publisher
Database: Elsevier - ScienceDirect
Journal: Journal of Biotechnology - Volume 123, Issue 2, 17 May 2006, Pages 204–209
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us