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Modelling of Kauma waste stablisation pond treatment process using artificial intelligence

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conference contribution
posted on 2021-11-03, 15:03 authored by Madalitso Mng’ombe, Eddie Mtonga, Russel Chidya, Brighton A. Chunga
This record includes an extended abstract and MP4 presentation. Presented at the 42nd WEDC International Conference.

History

School

  • Architecture, Building and Civil Engineering

Research Unit

  • Water, Engineering and Development Centre (WEDC)

Published in

Equitable and Sustainable WASH Services: Future challenges in a rapidly changing world. Proceedings of the 42nd WEDC International Conference

Source

42nd WEDC International Conference. Equitable and Sustainable WASH Services: Future challenges in a rapidly changing world

Publisher

WEDC, Loughborough University

Version

  • VoR (Version of Record)

Rights holder

© WEDC, Loughborough University

Copyright date

2021

Language

  • en

Location

Virtual Conference

Event dates

13-15 September 2021

Article number

3098

Usage metrics

    WEDC 42nd International Conference

    Categories

    No categories selected

    Keywords

    Artificial IntelligenceArtificial Neural NetworkFuzzy LogicFuzzy Inference SystemKohonen Self Organising MapBiochemical Oxygen Demand (BOD5)

    Licence

    CC BY-NC-ND 4.0

    Exports