Submitted outputs' details

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Performance of LEMMO with artificial neural networks for water systems optimisation

Submitting institution: University of Gloucestershire
Unit of assessment: 12 - Engineering
Output identifier: 431
Type: D - Journal article
DOI: 10.1080/1573062X.2019.1611886
Title of journal: Urban Water Journal
Article number: -
First page: 21
Volume: 16
Issue: 1
ISSN: 1573-062X
Open access status: Compliant
Month of publication: June
Year of publication: 2019
URL: http://eprints.glos.ac.uk/6916/
Supplementary information: -
Request cross-referral to: -
Output has been delayed by COVID-19: No
COVID-19 affected output statement: -
Forensic science: No
Criminology: No
Interdisciplinary: No
Number of additional authors: 2
Research group(s): -
Proposed double-weighted: No
Reserve for an output with double weighting: No
Additional information: -
Author contribution statement: -
Non-English: No
English abstract: -