Pipeline Scour Rates Prediction-Based Model Utilizing a Multilayer Perceptron-Colliding Body Algorithm

Pipeline Scour Rates Prediction-Based Model Utilizing a Multilayer Perceptron-Colliding Body Algorithm

In this research, the advanced multilayer perceptron (MLP) models are utilized to predict the free rate of expansion that usually occurs around the pipeline (PL) because of waves. The MLP model was structured by integrating it with three optimization algorithms: particle swarm optimization (PSO), wh...

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Bibliographic Details
Main Authors: Mohammad Ehteram, Ali Najah Ahmed, Lloyd Ling, Chow Ming Fai, Sarmad Dashti Latif, Haitham Abdulmohsin Afan, Fatemeh Barzegari Banadkooki, Ahmed El-Shafie
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Water
Subjects:
scour rate
prediction model
optimization model
mlp model
colliding bodies’ optimization
Online Access:https://www.mdpi.com/2073-4441/12/3/902

Internet

https://www.mdpi.com/2073-4441/12/3/902

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