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浏览/检索结果: 共16条，第1-10条 帮助

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A stochastic Galerkin lattice Boltzmann method for incompressible fluid flows with uncertainties 期刊论文  OAI收割
JOURNAL OF COMPUTATIONAL PHYSICS, 2024, 卷号: 517, 页码: 22
作者:  Zhong, Mingliang;  Xiao, Tianbai;  Krause, Mathias J.;  Frank, Martin;  Simonis, Stephan
  |  收藏  |  浏览/下载：9/0  |  提交时间：2024/10/08
Debris Flow Analyst (DA): A debris flow model considering kinematic uncertainties and using a GIS platform 期刊论文  OAI收割
ENGINEERING GEOLOGY, 2020, 卷号: 279, 页码: 11
作者:  Wu, Yuming;  Lan, Hengxing
  |  收藏  |  浏览/下载：26/0  |  提交时间：2021/03/15
Debris Flow Analyst (DA): A debris flow model considering kinematic uncertainties and using a GIS platform 期刊论文  OAI收割
ENGINEERING GEOLOGY, 2020, 卷号: 279, 页码: 11
作者:  Wu, Yuming;  Lan, Hengxing
  |  收藏  |  浏览/下载：21/0  |  提交时间：2021/03/15
Constantin and Iyer's Representation Formula for the Navier-Stokes Equations on Manifolds 期刊论文  OAI收割
POTENTIAL ANALYSIS, 2018, 卷号: 48, 期号: 2, 页码: 181-206
作者:  Fang, Shizan;  Luo, Dejun
  |  收藏  |  浏览/下载：20/0  |  提交时间：2018/07/30
The Ito SDEs and Fokker-Planck equations with Osgood and Sobolev coefficients 期刊论文  OAI收割
STOCHASTICS-AN INTERNATIONAL JOURNAL OF PROBABILITY AND STOCHASTIC PROCESSES, 2018, 卷号: 90, 期号: 3, 页码: 379-410
作者:  Luo, Dejun
  |  收藏  |  浏览/下载：21/0  |  提交时间：2018/07/30
Quasi-invariance of the Stochastic Flow Associated to It's SDE with Singular Time-Dependent Drift 期刊论文  OAI收割
JOURNAL OF THEORETICAL PROBABILITY, 2015, 卷号: 28, 期号: 4, 页码: 1743-1762
作者:  Luo, Dejun
  |  收藏  |  浏览/下载：17/0  |  提交时间：2018/07/30
Neural network based online traffic signal controller design with reinforcement training (EI CONFERENCE) 会议论文  OAI收割
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.
收藏  |  浏览/下载：28/0  |  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.  
Quasi-invariance of Lebesgue measure under the homeomorphic flow generated by SDE with non-Lipschitz coefficient 期刊论文  OAI收割
BULLETIN DES SCIENCES MATHEMATIQUES, 2009, 卷号: 133, 期号: 3, 页码: 205-228
作者:  Luo, Dejun
  |  收藏  |  浏览/下载：11/0  |  提交时间：2018/07/30
Sobolev solution for semilinear PDE with obstacle under monotonicity condition 期刊论文  OAI收割
ELECTRONIC JOURNAL OF PROBABILITY, 2008, 卷号: 13, 页码: 1035-1067
作者:  Matoussi, Anis;  Xu, Mingyu
  |  收藏  |  浏览/下载：10/0  |  提交时间：2018/07/30
Modeling and Performance Analysis of Flow Lines with Stochastic Failures Based on Petri Nets 会议论文  OAI收割
7th World Congress on Intelligent Control and Automation, Chongqing, China, June 25-27, 2008
作者:  Liu C(刘昶);  Shi HB(史海波);  Yuan J(袁杰)
收藏  |  浏览/下载：20/0  |  提交时间：2012/06/06