Application of mayfly algorithm for prediction of removed sediment in hydro-suction dredging systems-Reference-Cited by-同舟云学术

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Application of mayfly algorithm for prediction of removed sediment in hydro-suction dredging systems

Published:2022-11-01 Issue: Volume: Page:1-9
ISSN:1744-5302
Container-title:Ships and Offshore Structures
language:en
Short-container-title:Ships and Offshore Structures

Author:

Mahdavi-Meymand Amin¹^ORCID,Zounemat-Kermani Mohammad²³

Affiliation:

1. Institute of Hydro-Engineering, Polish Academy of Sciences, Gdańsk, Poland

2. Water Engineering Department, Shahid Bahonar University of Kerman, Kerman, Iran

3. Center of Excellence in Hydroinformatics, Faculty of Civil Engineering, University of Tabriz, Tabriz, Iran

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Ocean Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/17445302.2022.2140528

Reference46 articles.

1. Predictability performance enhancement for suspended sediment in rivers: Inspection of newly developed hybrid adaptive neuro-fuzzy system model

2. ANFIS-based approach for predicting sediment transport in clean sewer

3. Hybrid ANFIS–PSO approach for predicting optimum parameters of a protective spur dike

4. Hydraulic Model Studies for Suction Cutterheads

5. Utilization of PSO algorithm in estimation of water level change of Lake Beysehir

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