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期刊论文 [7]
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2018 [7]
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Materials ... [1]
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Symplectic Runge-Kutta methods for Hamiltonian systems driven by Gaussian rough paths
期刊论文
APPLIED NUMERICAL MATHEMATICS, 2018, 卷号: 129, 页码: 120-136
作者:
Hong, Jialin
;
Huang, Chuying
;
Wang, Xu
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浏览/下载:20/0
  |  
提交时间:2018/07/30
Rough path
Hamiltonian system
Symplectic Runge-Kutta method
Implicit method
Pathwlse convergence rate
Photoproduction of vector mesons in proton-proton ultraperipheral collisions at the CERN Large Hadron Collider
期刊论文
INTERNATIONAL JOURNAL OF MODERN PHYSICS A, 2018, 卷号: 33, 期号: 14-15, 页码: 1850086
作者:
Xie, Ya-Ping
;
Chen, Xurong
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  |  
浏览/下载:24/0
  |  
提交时间:2018/07/16
Dipole model
meson production
ultraperipheral collisions
Computational Model Based on Neural Network of Visual Cortex for Human Action Recognition
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 5, 页码: 1427-1440
作者:
Liu, Haihua
;
Shu, Na
;
Tang, Qiling
;
Zhang, Wensheng
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  |  
浏览/下载:34/0
  |  
提交时间:2018/10/10
Action Recognition
Classical Receptive Field (Rf)
Spiking Neural Networks (Snns)
Surround Suppression
Visual Cortex
Structural integrity and characteristics at lattice and nanometre levels of ZrN polycrystalline irradiated by 4 MeV Au ions
期刊论文
JOURNAL OF THE EUROPEAN CERAMIC SOCIETY, 2018, 卷号: 38, 期号: 13, 页码: 4373, 4383
作者:
Bao, Weichao
;
Robertson, Stuart
;
Liu, Ji-Xuan
;
Zhang, Guo-Jun
;
Xu, Fangfang
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  |  
浏览/下载:21/0
  |  
提交时间:2018/12/28
ZrN
Radiation damage
Structural integrity
Support vector machine and higher-order cumulants based blind identification for non-linear Wiener models
期刊论文
IET SIGNAL PROCESSING, 2018, 卷号: 12, 页码: 761-769
作者:
Xu, Xiaoping
;
Wang, Feng
;
Qian, Fucai
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  |  
浏览/下载:9/0
  |  
提交时间:2019/11/19
inverse problems
signal processing
higher order statistics
parameter estimation
nonlinear Wiener models
stochastic processes
inverse mapping
first-order statistical property
cyclostationary input signal
blind identification method
regression analysis
support vector machine regression theory
Gaussian random signal
higher-order cumulants principle
support vector machines
Support vector machine and higher-order cumulants based blind identification for non-linear Wiener models
期刊论文
2018, 卷号: 12, 页码: 761-769
作者:
Xu, Xiaoping
;
Wang, Feng
;
Qian, Fucai
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  |  
浏览/下载:14/0
  |  
提交时间:2019/12/20
stochastic processes
support vector machines
regression analysis
higher order statistics
inverse problems
parameter estimation
signal processing
nonlinear Wiener models
blind identification method
Gaussian random signal
first-order statistical property
cyclostationary input signal
inverse mapping
parameter estimation
support vector machine regression theory
higher-order cumulants principle
Comparative study on monitoring schemes for non-Gaussian distributed processes
期刊论文
JOURNAL OF PROCESS CONTROL, 2018, 卷号: 67, 页码: 69-82
作者:
Li, Gang
;
Qin, S. Joe
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浏览/下载:2/0
  |  
提交时间:2019/12/30
Non-Gaussian distribution
Independent component analysis
Kernel density estimation
Gaussian mixture model
Support vector data description
Statistical pattern analysis
Neyman Pearson lemma
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