Outlier robust extreme learning machine to simulate discharge coefficient of side slots

Outlier robust extreme learning machine to simulate discharge coefficient of side slots

Abstract As the first time, this paper attempts to recreate the discharge coefficient (DC) of side slots by another artificial intelligence procedure named "Outlier Robust Extreme Learning Machine (ORELM)". Accordingly, at first, the variables affecting the DC comprising the ratios of the...

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Bibliographic Details
Main Authors: Farzad Hasani, Saeid Shabanlou
Format: Article
Language:English
Published: SpringerOpen 2022-05-01
Series:Applied Water Science
Subjects:
Side slots
Discharge coefficient
Outlier robust extreme learning machine
Uncertainty analysis, Partial derivative sensitivity analysis
Sensitivity analysis
Online Access:https://doi.org/10.1007/s13201-022-01687-3

Internet

https://doi.org/10.1007/s13201-022-01687-3

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