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沈阳自动化研究所 [19]
自动化研究所 [7]
北京大学 [6]
兰州理工大学 [4]
西安交通大学 [4]
厦门大学 [2]
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期刊论文 [33]
会议论文 [24]
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2022 [1]
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2020 [3]
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Physics [1]
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Updated Lagrangian particle hydrodynamics (ULPH) modeling for free-surface fluid flows
期刊论文
COMPUTATIONAL MECHANICS, 2023, 页码: 20
作者:
Yan, Jiale
;
Li, Shaofan
;
Kan, Xingyu
;
Lv, Pengyu
;
Zhang, A-Man
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2023/10/16
Computational fluid dynamics
Density diffusive term
Free-surface flows
Free-surface detection
Peridynamics
Updated Lagrangian particle hydrodynamics (ULPH)
Statistical mechanics of continual learning: Variational principle and mean-field potential
期刊论文
PHYSICAL REVIEW E, 2023, 卷号: 108, 期号: 1, 页码: 14309
作者:
Li, Chan
;
Huang, Zhenye
;
Zou, Wenxuan
;
Huang, Haiping
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  |  
浏览/下载:0/0
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提交时间:2023/12/07
NETWORKS
An evolutionary design method of product form inspired by spider-webs
期刊论文
Computer-Aided Design and Applications, 2022, 卷号: 19, 期号: 1, 页码: 1-25
作者:
Zhang, Shutao
;
Liu, Shifeng
;
Su, Jianning
;
Zhou, Aimin
;
Wang, Shijie
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  |  
浏览/下载:18/0
  |  
提交时间:2022/04/21
Genetic algorithms
Mechanical properties
Structural design
Design cognition
Evolutionary design
Intelligent designs
Interaction mechanisms
Product families
Product family development
Special structure
Variation coefficient
Multi-step metal prices forecasting based on a data preprocessing method and an optimized extreme learning machine by marine predators algorithm
期刊论文
RESOURCES POLICY, 2021, 卷号: 74, 页码: 10
作者:
Du, Pei
;
Guo, Ju'e
;
Sun, Shaolong
;
Wang, Shouyang
;
Wu, Jing
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/04/02
Metal prices forecasting
Data processing method
Optimized extreme learning machine
Hybrid forecasting model
Tuning Convolutional Spiking Neural Network With Biologically Plausible Reward Propagation
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 11
作者:
Zhang, Tielin
;
Jia, Shuncheng
;
Cheng, Xiang
;
Xu, Bo
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  |  
浏览/下载:22/0
  |  
提交时间:2022/01/27
Neurons
Biology
Convolution
Biological neural networks
Tuning
Membrane potentials
Kernel
Biologically plausible computing
neuronal dynamics
reward propagation
spiking neural network (SNN)
BAS-ADAM: An ADAM Based Approach to Improve the Performance of Beetle Antennae Search Optimizer
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 2, 页码: 461-471
作者:
Ameer Hamza Khan
;
Xinwei Cao
;
Shuai Li
;
Vasilios N. Katsikis
;
Liefa Liao
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2021/03/11
Adaptive moment estimation (ADAM)
Beetle antennae search (BAM)
gradient estimation
metaheuristic optimization
nature-inspired algorithms
neural network
A jigsaw puzzle inspired algorithm for solving large-scale no-wait flow shop scheduling problems
会议论文
作者:
Zhao, Fuqing
;
He, Xuan
;
Zhang, Yi
;
Lei, Wenchang
;
Ma, Weimin
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  |  
浏览/下载:12/0
  |  
提交时间:2020/12/18
Benchmarking
Heuristic algorithms
Machine shop practice
NP-hard
SchedulingAlgorithm for solving
Jigsaw puzzles
Makespan
Matching matrix
Minimizing makespan
No-wait flow-shop scheduling
Optimal scheduling
State of the art
A jigsaw puzzle inspired algorithm for solving large-scale no-wait flow shop scheduling problems
期刊论文
Applied Intelligence, 2020, 卷号: 50, 期号: 1, 页码: 87-100
作者:
Zhao, Fuqing
;
He, Xuan
;
Zhang, Yi
;
Lei, Wenchang
;
Ma, Weimin
收藏
  |  
浏览/下载:71/0
  |  
提交时间:2020/11/14
Benchmarking
Heuristic algorithms
Machine shop practice
NP-hard
Scheduling
Algorithm for solving
Jigsaw puzzles
Makespan
Matching matrix
Minimizing makespan
No-wait flow-shop scheduling
Optimal scheduling
State of the art
Multi-population techniques in nature inspired optimization algorithms: A comprehensive survey
期刊论文
SWARM AND EVOLUTIONARY COMPUTATION, 2019, 卷号: 44, 页码: 365-387
作者:
Ma, Haiping[1]
;
Shen, Shigen[2]
;
Yu, Mei[3]
;
Yang, Zhile[4]
;
Fei, Minrui[5]
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/04/22
Multi-population
Nature-inspired algorithm
Optimization
Evolutionary algorithm
Swarm intelligence
Optimization of power consumption associated with surface roughness in ultrasonic assisted turning of Nimonic-90 using hybrid particle swarm-simplex method
期刊论文
Materials, 2019, 卷号: 12, 期号: 20
作者:
Khanna N.
;
Airao J.
;
Gupta M.K.
;
Song Q.
;
Liu Z.
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/11
Nature inspired hybrid algorithm
Nimonic-90
Optimization
Power consumption
Surface roughness
Ultrasonically assisted turning
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