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长春光学精密机械与物... [5]
数学与系统科学研究院 [3]
地理科学与资源研究所 [2]
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会议论文 [5]
期刊论文 [5]
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Isogeometric Convolution Hierarchical Deep-learning Neural Network: Isogeometric analysis with versatile adaptivity
期刊论文
OAI收割
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2023, 卷号: 417, 页码: 46
作者:
Zhang, Lei
;
Park, Chanwook
;
Lu, Ye
;
Li, Hengyang
;
Mojumder, Satyajit
|
收藏
|
浏览/下载:26/0
|
提交时间:2024/01/08
Convolution isogeometric analysis (C-IGA)
Convolution hierarchical deep-learning neural network (C-hiDeNN)
Software 2.0
r-h-p-s-a adaptive finite element method (FEM)
High-order smoothness and convergence
The energy-preserving time high-order AVF compact finite difference scheme for nonlinear wave equations in two dimensions
期刊论文
OAI收割
APPLIED NUMERICAL MATHEMATICS, 2021, 卷号: 170, 页码: 298-320
作者:
Hou, Baohui
;
Liang, Dong
|
收藏
|
浏览/下载:23/0
|
提交时间:2022/04/02
AVF method
CFD operator
Time high-order
Energy conservation
Convergence
Nonlinear wave equations
Explicit Deferred Correction Methods for Second-Order Forward Backward Stochastic Differential Equations
期刊论文
OAI收割
JOURNAL OF SCIENTIFIC COMPUTING, 2019, 卷号: 79, 期号: 3, 页码: 1409-1432
作者:
Yang, Jie
;
Zhao, Weidong
;
Zhou, Tao
|
收藏
|
浏览/下载:57/0
|
提交时间:2020/01/10
Deferred correction method
Second-order forward backward stochastic differential equations
Euler scheme
High-order rate of convergence
A Fourth Order Finite Difference Method for Time-Space Fractional Diffusion Equations
期刊论文
OAI收割
EAST ASIAN JOURNAL ON APPLIED MATHEMATICS, 2018, 卷号: 8, 期号: 4, 页码: 764-781
作者:
Arshad, Sadia
;
Baleanu, Dumitru
;
Huang, Jianfei
;
Tang, Yifa
;
Zhao, Yue
|
收藏
|
浏览/下载:38/0
|
提交时间:2019/03/05
Fractional diffusion equation
Riesz derivative
high-order approximation
stability
convergence
A new algorithm for solving the best-fit sphere of optical aspherical surface (EI CONFERENCE)
会议论文
OAI收割
2nd International Conference on Advances in Materials and Manufacturing, ICAMMP 2011, December 16, 2011 - December 18, 2011, Guilin, China
作者:
Lin J.
;
Lu M.
收藏
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浏览/下载:44/0
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提交时间:2013/03/25
To solve the best-fit sphere (BFS) accurately is one of the technological keys for the generating and testing of optical aspherical surfaces. This paper presents a new algorithm for solving the BFS of aspherical surfaces to suppress some deficiencies in the existing BFS algorithms. In the proposed approach
it is not only suitable for the conic surface
a BFS is constructed
but also for higher order aspheres. The obtained asphericity and material removal function is more suitable for the machining and test. (2012) Trans Tech Publications
which passes through both sides of endpoints in the section o -?xy of the aspherical surfaces
Switzerland.
the center of the BFS is shifted along the x-axis
and its radius of curvature is automatically computed. The variable step size method is proposed to speed up the convergence of the iteration. Through numerically solving the BFS of conic and cubic surface
the advantages of the proposed approach are verified. The results show that the proposed approach is of rapid convergence
and high accuracy
Research on the identification for a nonlinear system (EI CONFERENCE)
会议论文
OAI收割
International Conference on Optical, Electronic Materials and Applications 2011, OEMA 2011, March 4, 2011 - March 6, 2011, Chongqing, China
作者:
Liu J.
;
Jia P.
;
Liu J.
;
Liu J.
收藏
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浏览/下载:35/0
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提交时间:2013/03/25
The characteristic of the drift error of inertial platform is a high-order nonlinear dynamic system
using the neural networks' abilities of universal approximation of differentiable trajectory and capturing system dynamic information
this paper presents the drift error identifying project of inertial platform based on Elman networks structure. First
the drift error model of inertial platform is established
after selecting the input and output for network
momentum and alterable speed algorithm is used to speed up the network convergence. On the basis of the algorithm
the extended nonlinear node function in the hidden network does not only improve the learning speed of network
but also satisfies the need of accuracy on system identification. Through the drift error data measured on inertial platform
the training result shows that the scheme achieves satisfied identification results. (2011) Trans Tech Publications.
Study on image real-time interpretation based on particle filter (EI CONFERENCE)
会议论文
OAI收割
2011 International Conference on Mechatronic Science, Electric Engineering and Computer, MEC 2011, August 19, 2011 - August 22, 2011, Jilin, China
作者:
Liu S.-J.
收藏
|
浏览/下载:29/0
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提交时间:2013/03/25
In order to satisfy to the real-time requirement of image interpretation system in photoelectric measurement equipments
a kind of hardware acceleration system with MIMD distributed multi-processor architecture based on SOPC technology is designed. The particle filter algorithm is proposed to process image interpretation for state estimation problem of nonlinear and non-Gaussian system. This algorithm does not involve conventional linearization transform
and has approximated the posterior probability density by a set of discrete particles. Therefore the approximate optimum result is educed. It has a high accuracy and a rapid convergence. Experimental results show that the algorithm be adequate to real time
accuracy and robustness
meets the requirement of image interpretation and possesses practical significance for engineering applications. 2011 IEEE.
Fifth-order iterative method for finding multiple roots of nonlinear equations
期刊论文
OAI收割
NUMERICAL ALGORITHMS, 2011, 卷号: 57, 期号: 3, 页码: 389-398
Li, XW
;
Mu, CL
;
Ma, JW
;
Hou, Linke(侯麟科)
收藏
|
浏览/下载:28/0
|
提交时间:2012/05/09
Nonlinear equation
Multiple roots
Newton-like method
High-order convergence
Iterative methods
Fifth-order iterative method for finding multiple roots of nonlinear equations
SCI/SSCI论文
OAI收割
2011
Li X. W.
;
Mu C. L.
;
Ma J. W.
;
Hou L. K.
收藏
|
浏览/下载:24/0
|
提交时间:2012/06/08
Nonlinear equation
Multiple roots
Newton-like method
High-order
convergence
Iterative methods
order
family
convergence
derivatives
zeros
The registration of aerial infrared and visible images (EI CONFERENCE)
会议论文
OAI收割
2010 International Conference on Educational and Information Technology, ICEIT 2010, September 17, 2010 - September 19, 2010, Chongqing, China
作者:
Liu J.
;
Wang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
收藏
|
浏览/下载:30/0
|
提交时间:2013/03/25
In order to solve the registration problem of different source image existed on aerial image fusion
algorithms based on Particle Swarm Optimization (PSO) are applied as search strategy in this paper
and Alignment Metric (AM) is used as judgment. This study has realized the different source image registration of infrared and visible light with high speed
high accuracy and high reliability. Basically
with little restriction of gray level properties
a new alignment measure is applied
which can efficiently measure the image registration extent and tolerate noise well. Even more
the intelligent optimization algorithm - Particle Swarm Optimization (PSO) is combined to improve the registration precision and rate of infrared and visible light. Experimental results indicate that
the study attains the registration accuracy of pixel level
and every registration time is cut down over 40 percent compared to traditional method. The match algorithm based on AM
solves the registration problem that greater differences between different source images are existed on gray and characteristic. At the same time
the adoption of combining the intelligent optimization algorithms significantly improves the searching efficiency and convergence speed of the algorithms
and the registration result has higher accuracy and stability
which builds up solid foundation for different source image fusion. The method in this paper has a magnificent effect
and is easy for application and very suitable for engineering use. 2010 IEEE.
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