Improving the case-based reasoning prediction of the compliance of treated effluent from constructed wetlands

Crapper, Martin, Ellis, Ruth and Furber, Alison (2010) Improving the case-based reasoning prediction of the compliance of treated effluent from constructed wetlands. Civil Engineering and Environmental Systems, 27 (2). pp. 123-132. ISSN 1028-6608

Full text not available from this repository. (Request a copy)
Official URL: http://dx.doi.org/10.1080/10286600902781641

Abstract

This study aims to improve a case-based reasoning system designed to predict the compliance for BOD5 of effluent from constructed wetlands in terms of simple-to-measure parameters. The data set was extended, similarity matching improved, the variable (field) weightings used in similarity scoring were refined using a genetic algorithm and the system was tested with an alternative CBR engine to verify the independence of the result. The modifications resulted in an improvement of overall accuracy from 81% to 83%, compared with 77% in a previous study, and an improvement of the accuracy of regulatory fail predictions from 58% to as high as 76%. Results were shown to be independent of the CBR engine used. Continuing inaccuracy is noted because the case-base includes many more pass than fail cases, and further improvements will be obtainable only by incorporating additional fail cases into the data.

Item Type: Article
Uncontrolled Keywords: constructed wetlands, case-based reasoning, compliance
Subjects: H200 Civil Engineering
Department: Faculties > Engineering and Environment > Mechanical and Construction Engineering
Depositing User: Becky Skoyles
Date Deposited: 07 Jun 2016 13:36
Last Modified: 07 Jun 2016 13:36
URI: http://nrl.northumbria.ac.uk/id/eprint/27036

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics


Policies: NRL Policies | NRL University Deposit Policy | NRL Deposit Licence