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浏览/检索结果: 共11条,第1-10条 帮助

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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
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
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
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
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  |  浏览/下载:44/0  |  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  |  浏览/下载:35/0  |  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  |  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
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
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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