Particle swarm optimization trained neural network for structural failure prediction of multistoried RC buildings
S Chatterjee, S Sarkar, S Hore, N Dey… - Neural Computing and …, 2017 - Springer
Faulty structural design may cause multistory reinforced concrete (RC) buildings to collapse
suddenly. All attempts are directed to avoid structural failure as it leads to human life danger …
suddenly. All attempts are directed to avoid structural failure as it leads to human life danger …
Fatigue analysis of floating wind turbine support structure applying modified stress transfer function by artificial neural network
HJ Kim, BS Jang, CK Park, YH Bae - Ocean Engineering, 2018 - Elsevier
The frequency-domain approach has been studied as a potential replacement modality for
the time-domain method in fatigue analysis of offshore wind turbine structures. It is assumed …
the time-domain method in fatigue analysis of offshore wind turbine structures. It is assumed …
A novel approach for motion predictions of a semi-submersible platform with neural network
Y Deng, W Feng, S Xu, X Chen, B Wang - Journal of Marine Science and …, 2021 - Springer
A neural-network-based prediction of motion responses of a semi-submersible is presented
here. The fully connected neural networks and the long–short-term memory networks were …
here. The fully connected neural networks and the long–short-term memory networks were …
Artificial intelligence (AI)-based friction factor models for large piping networks
In large piping networks, evaluation of friction factor is a time-consuming process and poses
computational complexity. This is because the friction factor has to be evaluated for every …
computational complexity. This is because the friction factor has to be evaluated for every …
On the fusion of regression and neural network methods
A Pwasong, S Sathasivam - International Journal of …, 2016 - inderscienceonline.com
In this paper, a cascade forward back propagation neural (CFBN) network model and an
ordinary least squares (OLS) regression model are fused together to form a hybrid model …
ordinary least squares (OLS) regression model are fused together to form a hybrid model …
Research on Equipment of Marine Reef Unmanned Floating Platform Information Platform
L Zhang, S Zhang, Y Ma, C Shen… - ISCTT 2022; 7th …, 2022 - ieeexplore.ieee.org
The total length of China's continental coastline from north to south is about 18,000
kilometers, and its island coastline is more than 14,000 kilometers. There are numerous …
kilometers, and its island coastline is more than 14,000 kilometers. There are numerous …
Neural-Network-Based Tracking Control of Offshore Steel Jacket Platforms
ZH Cai, BL Zhang, XH Yu - … Methods in Energy, Power, Electric Vehicles …, 2017 - Springer
This paper deals with the problem of neural network tracking control for an offshore platform
system under external wave forces. A feedforward backpropagation neural-network-based …
system under external wave forces. A feedforward backpropagation neural-network-based …
Ứng dụng ANN trong dự báo áp suất nứt vỉa
N Van Hung, DH Minh - Petrovietnam Journal, 2019 - pvj.vn
Tóm tắt Dự báo áp suất nứt vỉa là công việc quan trọng khi lên kế hoạch thiết kế giếng
khoan, cho phép kiểm soát, vận hành, kích thích giếng hoạt động hiệu quả. Nếu dự báo …
khoan, cho phép kiểm soát, vận hành, kích thích giếng hoạt động hiệu quả. Nếu dự báo …
Determining the best-FIT programmers using prognostic attributes/Sorada Prathan
P Sorada - 2018 - studentsrepo.um.edu.my
The software development industry depends significantly on human capital to maintain
competitiveness through the development of quality software systems and project a …
competitiveness through the development of quality software systems and project a …
Determining the Best-Fit Programmers Using Prognostic Attributes
S Prathan - 2018 - search.proquest.com
The software development industry depends significantly on human capital to maintain
competitiveness through the development of quality software systems and project a …
competitiveness through the development of quality software systems and project a …