Extreme learning machine model for water network management
Author:
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/article/10.1007/s00521-017-2987-7/fulltext.html
Reference48 articles.
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3. Nishiyama M, Filion Y (2013) Review of statistical water main break prediction models. Can J Civ Eng 40:972–979
4. Kleiner Y, Sadiq R, Rajani B (2006) Modelling the deterioration of buried infrastructure as a fuzzy Markov process. J Water Supply Res Technol AQUA 55(2):67–80
5. Huang G, Zhu Y, Siew C (2006) Extreme learning machine: theory and applications. Neurocomputing 70:489–501
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