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New tool for evaluation of performance of wastewater treatment plant: Artificial neural network

Paper ID Volume ID Publish Year Pages File Format Full-Text
36227 45125 2005 5 PDF Available
Title
New tool for evaluation of performance of wastewater treatment plant: Artificial neural network
Abstract

Kohonen self-organizing feature maps, a method of artificial intelligence method, was used to classify operational data of Pelham wastewater treatment plant and to determine the reasons for high effluent concentrations of biological oxygen demand (BOD), total suspended solids (TSS) and fecal coliform in this study. The reasons causing high effluent concentrations of these parameters were low pH in the biological reactor and high solid retention time (SRT).

Keywords
Pelham wastewater treatment plant; Artificial neural network; Kohonen self-organizing feature maps
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Publisher
Database: Elsevier - ScienceDirect
Journal: Process Biochemistry - Volume 40, Issue 9, September 2005, Pages 2980–2984
Authors
,
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