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Contact Force Surrogate Model and Its Application in Pantograph-Catenary Parameter Optimization
期刊论文
APPLIED SCIENCES-BASEL, 2024, 卷号: 14, 期号: 1, 页码: 13
作者:
Zhou R(周睿)
;
Xu XH(许向红)
;
Rahnejat, Homer
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浏览/下载:0/0
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提交时间:2024/02/19
current collection quality
pantograph-catenary parameters optimization
surrogate model
sensitivity analysis
Autogeneration of Mission-Oriented Robot Controllers Using Bayesian-Based Koopman Operator
期刊论文
IEEE TRANSACTIONS ON ROBOTICS, 2024, 卷号: 40, 页码: 903-918
作者:
Pan, Jie
;
Li, Dongyue
;
Wang, Jian
;
Zhang, Pengfei
;
Shao, Jinyan
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  |  
浏览/下载:2/0
  |  
提交时间:2024/02/21
Bayesian optimization (BO)
control-oriented model identification
Koopman operator
robot control
Dynamic Parameter Optimization of High-Speed Pantograph Based on Swarm Intelligence and Machine Learning
期刊论文
INTERNATIONAL JOURNAL OF APPLIED MECHANICS, 2023, 页码: 19
作者:
Zhou R(周睿)
;
Xu XH(许向红)
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  |  
浏览/下载:10/0
  |  
提交时间:2023/10/23
Contact force of pantograph-catenary system
selective crow search algorithm
surrogate model
multi-parameter optimization
Optimal Design Towards High Performance of Sandwich Flexible Piezoelectric Energy Harvesters
期刊论文
JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME, 6, 2023, 卷号: 90, 页码: 61007
作者:
Li QL(李沁蓝)
;
Li S(李爽)
;
Zhou LQ(周联巧)
;
Cao XF(曹馨芳)
;
Lan YQ(蓝昱群)
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  |  
浏览/下载:14/0
  |  
提交时间:2023/06/15
piezoelectric energy harvesting
piezoelectric analytic model
wearable electronic
implantable electronic
sandwich structure
structural optimization
elasticity
structures
Network-Wide Traffic Signal Control Based on MARL With Hierarchical Nash-Stackelberg Game Model
期刊论文
IEEE ACCESS, 2023, 卷号: 11, 页码: 145085-145100
作者:
Shen, Hui
;
Zhao, Hongxia
;
Zhang, Zundong
;
Yang, Xun
;
Song, Yutong
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浏览/下载:0/0
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提交时间:2024/02/22
Games
Roads
Approximation algorithms
Q-learning
Multi-agent systems
Process control
Optimization
Reinforcement learning
Traffic control
Network-wide traffic signal control
hierarchical game model
multi-agent reinforcement learning
Stronger wind, smaller tree: Testing tree growth plasticity through a modeling approach
期刊论文
FRONTIERS IN PLANT SCIENCE, 2022, 卷号: 13, 页码: 17
作者:
Wang, Haoyu
;
Hua, Jing
;
Kang, Mengzhen
;
Wang, Xiujuan
;
Fan, Xing-Rong
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  |  
浏览/下载:17/0
  |  
提交时间:2023/01/09
functional-structural plant model
mechanical model
critical wind speed
tree breakage
optimization
thigmomorphogenesis
Multi-objective optimization of semi-submersible platforms based on a support vector machine with grid search optimized mixed kernels surrogate model
期刊论文
OCEAN ENGINEERING, 2022, 卷号: 260, 页码: 20
作者:
Mao, Yixuan
;
Wang, Tianqi
;
Duan, Menglan
;
Men HY(门弘远)
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  |  
浏览/下载:218/0
  |  
提交时间:2022/08/28
Multi-objective optimization
SEMI
Surrogate model
SVM
Hydrodynamic response
An Improved YOLOV5 Based on Triplet Attention and Prediction Head Optimization for Marine Organism Detection on Underwater Mobile Platforms
期刊论文
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2022, 卷号: 10, 期号: 9, 页码: 13
作者:
Li, Yan
;
Bai, Xinying
;
Xia, Chunlei
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  |  
浏览/下载:24/0
  |  
提交时间:2022/11/07
marine organism
target identification
deep learning
attention mechanism
model optimization
An Improved YOLOV5 Based on Triplet Attention and Prediction Head Optimization for Marine Organism Detection on Underwater Mobile Platforms
期刊论文
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2022, 卷号: 10, 期号: 9, 页码: 13
作者:
Li, Yan
;
Bai, Xinying
;
Xia, Chunlei
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  |  
浏览/下载:12/0
  |  
提交时间:2022/11/07
marine organism
target identification
deep learning
attention mechanism
model optimization
A discrete learning fruit fly algorithm based on knowledge for the distributed no-wait flow shop scheduling with due windows
期刊论文
Expert Systems with Applications, 2022, 卷号: 198
作者:
Zhu, Ningning
;
Zhao, Fuqing
;
Wang, Ling
;
Ding, Ruiqing
;
Xu, Tianpeng
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  |  
浏览/下载:28/0
  |  
提交时间:2022/04/21
Fruits
Iterative methods
Job shop scheduling
Learning algorithms
Local search (optimization)
Machine shop practice
Manufacture
Distributed no-wait flow-shop
Due-window
Fruit fly optimization
Fruitflies
Knowledge model
No-wait flowshop
Optimisations
Probability knowledge model
Variable neighborhood descend
Variable neighbourhoods
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