More accurate prediction of the complex velocity field in sewers based on uncertainty analysis using extreme learning machine technique
Author:
Affiliation:
1. Department of Civil Engineering, Razi University, Kermanshah, Iran
2. School of Engineering, University of Guelph, Guelph, Ontario, Canada
Publisher
Informa UK Limited
Subject
Fluid Flow and Transfer Processes,Water Science and Technology,Civil and Structural Engineering,Environmental Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/09715010.2018.1498753
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