Hybrid model of support vector regression and fruitfly optimization algorithm for predicting ski-jump spillway scour geometry

Hybrid model of support vector regression and fruitfly optimization algorithm for predicting ski-jump spillway scour geometry

Accurate prediction of the scour hole depth and dimensions downstream of ski-jump spillways has been an important issue among hydraulic researchers for decades. In recent years, computing methods such as Artificial Neural Networks (ANNs), Adaptive Neuro-Fuzzy Inference Systems (ANFISs) and Support V...

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Bibliographic Details
Main Authors: Xinpo Sun, Yuzhang Bi, Hojat Karami, Shayan Naini, Shahab S. Band, Amir Mosavi
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:Engineering Applications of Computational Fluid Mechanics
Subjects:
machine learning
artificial intelligence
artificial neural network (ann)
hydraulic model
scour hole
Online Access:http://dx.doi.org/10.1080/19942060.2020.1869102

Internet

http://dx.doi.org/10.1080/19942060.2020.1869102

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