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清华大学 [2]
兰州理工大学 [1]
长春光学精密机械与物... [1]
山东大学 [1]
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期刊论文 [4]
会议论文 [1]
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2021 [1]
2011 [1]
2010 [2]
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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
Neural network based online traffic signal controller design with reinforcement training (EI CONFERENCE)
会议论文
14th IEEE International Intelligent Transportation Systems Conference, ITSC 2011, October 5, 2011 - October 7, 2011, Washington, DC, United states
Dai Y.
;
Hu J.
;
Zhao D.
;
Zhu F.
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  |  
浏览/下载:26/0
  |  
提交时间:2013/03/25
Traffic congestion leads to problems like delays
decreasing flow rate
and higher fuel consumption. Consequently
keeping traffic moving as efficiently as possible is not only important to economy but also important to environment. Traffic system is a large complex nonlinear stochastic system. Traditional mathematical methods have some limitations when they are applied in traffic control. Thus
computational intelligence (CI) technologies gain more and more attentions. Neural Networks (NNs) is a well developed CI technology with lots of promising applications in traffic signal control (TSC). In this paper
a neural network (NN) based signal controller is designed to control the traffic lights in an urban traffic road network. Scenarios of simulation are conducted under a microscopic traffic simulation software. Several criterions are collected. Results demonstrate that through online reinforcement training the controllers obtain better control effects than the widely used pre-time and actuated methods under various traffic conditions. 2011 IEEE.
Research of point flux estimation method
期刊论文
2010, 2010
Chunyan Li
;
Junli Li
;
Jianping Cheng
;
Zhen Wu
;
Lucheng Pei
;
Jiajin Fan
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  |  
浏览/下载:7/0
The equivalence between ordinal optimization in deterministic complex problems and in stochastic simulation problems
期刊论文
2010, 2010
Ho, Yu-Chi
;
Jia, Qing-Shan
;
Zhao, Qian-Chuan
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  |  
浏览/下载:1/0
A new kind of accurate numerical method for backward stochastic differential equations
期刊论文
SIAM Journal on Scientific Computing, 2006, 卷号: 28, 期号: 4, 页码: 1563-1581
作者:
Zhao WD
;
Chen LF
;
Peng SG
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  |  
浏览/下载:2/0
  |  
提交时间:2020/01/03
backward stochastic differential equations
Monte Carlo method
time-space discretization
OBSTACLE PROBLEMS
FILTRATION
SIMULATION
STABILITY
SCHEME
SDES
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