Neural network model for assessing structural performance of netting in net-enclosure aquaculture facilities-Reference-Cited by-同舟云学术

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Neural network model for assessing structural performance of netting in net-enclosure aquaculture facilities

Published:2022-11 Issue: Volume:99 Page:102295
ISSN:0144-8609
Container-title:Aquacultural Engineering
language:en
Short-container-title:Aquacultural Engineering

Author:

Zhang Zi-Liang,Ma Yu-Jie,Fan Guang-Hui,Qu Xiao-Yu,Gui Fu-Kun,Feng De-Jun

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Aquatic Science

Reference31 articles.

1. An efficient artificial neural network model to predict the structural failure of high-density polyethylene offshore net cages in typhoon waves;Bi;Ocean Eng.,2020

2. Probabilistic model for predicting deep-draught channel design: savannah, GA entrance channel;Briggs;Ocean Eng.,2015

3. Force analysis of piles in net enclosure aquaculture engineering subjected to waves and current (in Chinese);Chen;Chin. Soc. Agric. Eng.,2017

4. Typical hydrodynamic models for aquaculture nets: a comparative study under pure current conditions;Cheng;Aquac. Eng.,2020

5. Effects of design factors on drag forces and deformations on marine aquaculture cages: a parametric study based on numerical simulations;Dong;J. Mar. Sci. Eng.,2020

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1. Numerical study on the flow characteristics of an integrated fish cage based on the monopile offshore wind turbine foundation;Aquacultural Engineering;2024-11

2. Hydrodynamic characteristics of rigid net panels for mariculture facilities as determined in flume-tank experiment;Applied Ocean Research;2024-06

3. Study on the Corrosion Behavior of D36 Steel Plate and H62 Copper Alloy Net for Marine Aquaculture Facilities in Simulated Seawater;Journal of Marine Science and Engineering;2023-05-04

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