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An efficient particle swarm optimization with evolutionary multitasking for stochastic area coverage of heterogeneous sensors
期刊论文
INFORMATION SCIENCES, 2023, 卷号: 645, 页码: 22
作者:
Ding, Shuxin
;
Zhang, Tao
;
Chen, Chen
;
Lv, Yisheng
;
Xin, Bin
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2023/11/17
Wireless sensor networks
Stochastic area coverage
Conditional value-at-risk
Co-evolutionary particle swarm optimization
Adaptive perturbation
Evolutionary multitasking
Towards Better Generalization of Deep Neural Networks via Non-Typicality Sampling Scheme
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 11
作者:
Peng, Xinyu
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2022/06/06
Training
Estimation
Deep learning
Standards
Optimization
Noise measurement
Convergence
Deep learning
generalization performance
nontypicality sampling scheme
stochastic gradient descent (SGD)
Distributionally Robust Optimal Dispatch Method Considering Mining of Wind Power Statistical Characteristics
期刊论文
Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2022, 卷号: 46, 期号: 2, 页码: 33-42
作者:
Xu, Chaoran
;
Xu, Xiaoyuan
;
Yan, Zheng
;
Li, Hengjie
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2022/04/21
Affine transforms
Electric load dispatching
Linear programming
Principal component analysis
Probability distributions
Stochastic systems
Ambiguity set
Data driven
Distributionally robust optimization
Economical dispatch
Power output
Probability: distributions
Robust optimization
Robust optimization method
Uncertainty
Wind power output
A Primal-Dual SGD Algorithm for Distributed Nonconvex Optimization
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 5, 页码: 812-833
作者:
Xinlei Yi
;
Shengjun Zhang
;
Tao Yang
;
Tianyou Chai
;
Karl Henrik Johansson
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  |  
浏览/下载:47/0
  |  
提交时间:2022/04/24
Distributed nonconvex optimization
linear speedup
Polyak-Łojasiewicz (P-Ł) condition
primal-dual algorithm
stochastic gradient descent
Retrofitting strategy for biomass co-fired power plant
期刊论文
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY, 2022, 卷号: 24, 期号: 8, 页码: 2531
作者:
Guo, Jian-Xin
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  |  
浏览/下载:5/0
  |  
提交时间:2023/05/30
Biomass power generation
Mixed combustion power plant
Stochastic optimization
Technology transition
STOCHASTIC TRUST-REGION METHODS WITH TRUST-REGION RADIUS DEPENDING ON PROBABILISTIC MODELS
期刊论文
JOURNAL OF COMPUTATIONAL MATHEMATICS, 2021, 页码: 41
作者:
Wang, Xiaoyu
;
Yuan, Ya-xiang
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  |  
浏览/下载:5/0
  |  
提交时间:2022/04/02
Trust-region methods
Stochastic optimization
Probabilistic models
Trust region radius
Global convergence
Why Dataset Properties Bound the Scalability of Parallel Machine Learning Training Algorithms
期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2021, 卷号: 32, 期号: 7, 页码: 1702-1712
作者:
Cheng, Daning
;
Li, Shigang
;
Zhang, Hanping
;
Xia, Fen
;
Zhang, Yunquan
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  |  
浏览/下载:28/0
  |  
提交时间:2021/12/01
Training
Scalability
Machine learning
Machine learning algorithms
Stochastic processes
Task analysis
Upper bound
Parallel training algorithms
training dataset
scalability
stochastic optimization methods
A General Framework for Nonparametric Identification of Nonlinear Stochastic Systems
期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2021, 卷号: 66, 期号: 6, 页码: 2449-2464
作者:
Zhao, Wenxiao
;
Weyer, Erik
;
Yin, George
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  |  
浏览/下载:39/0
  |  
提交时间:2021/10/26
Convex optimization
nonlinear autoregressive systems with exogenous inputs (NARX)
nonparametric
identification
stochastic approximation
strong consistency
Drill the Cork of Information Bottleneck by Inputting the Most Important Data
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:
Peng, Xinyu
;
Zhang, Jiawei
;
Wang, Fei-Yue
;
Li, Li
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  |  
浏览/下载:17/0
  |  
提交时间:2022/01/27
Training
Signal to noise ratio
Mutual information
Optimization
Convergence
Deep learning
Tools
Information bottleneck (IB) theory
machine learning
minibatch stochastic gradient descent (SGD)
typicality sampling
An improved particle swarm optimization algorithm and its application in solving forward kinematics of a 3-DoF parallel manipulator
期刊论文
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2021, 卷号: 235, 期号: 5, 页码: 896-907
作者:
Zhang, Shuzhen
;
Yuan, Xiaolong
;
Docherty, Paul D
;
Yang, Kai
;
Li, Chunling
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2021/06/03
Benchmarking
Degrees of freedom (mechanics)
Inverse kinematics
Manipulators
Parameter estimation
Particle swarm optimization (PSO)
Reactive power
Stochastic systems
Complex optimization problems
Fast convergence speed
Improved particle swarm optimization algorithms
Mechanism simulation
Optimization problems
Parallel manipulators
Particle swarm optimization method
Three degree of freedoms
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