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	ON MULTIPLICITY OF SEMI-CLASSICAL SOLUTIONS TO NONLINEAR DIRAC EQUATIONS OF SPACE-DIMENSION n 期刊论文 OAI收割 DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS, 2021, 卷号: 41, 期号: 9, 页码: 4105-4123 作者: Ding, Yanheng; Dong, Xiaojing; Guo, Qi \| 收藏 \| 浏览/下载：34/0 \| 提交时间：2022/04/02 Nonlinear Dirac equation Semi-classical solutions Multiplicity Variational methods subcritical and critical nonlinearity
	Control strategies and error compensation methods of high precision gyro stabilized platform (EI CONFERENCE) 会议论文 OAI收割 30th Chinese Control Conference, CCC 2011, July 22, 2011 - July 24, 2011, Yantai, China Deng K.; Cong S.; Shen H. 收藏 \| 浏览/下载：27/0 \| 提交时间：2013/03/25 Based on the principle of gyroscope and the structure of gyro stabilized platform this paper gives the analysis and comparison of control strategies for stable platform included classical PID control and three kinds of advanced strategies: Fuzzy Control Sliding Mode Variable Structure Control and Active Disturbance Rejection Control. The compensation methods for stable platform's error are also discussed and evaluated based on the sources of error especially for the non-linear friction and gyro drift. The paper provides the reliable methods for recognizing and improving the accuracy of gyro stabilized platform from the control strategies and error compensations. 2011 Chinese Assoc of Automation.
	Nonlinear system fault detection based on TLLE 会议论文 OAI收割 Guangzhou, China, September 16-18, 2011 作者: Zhang W(张伟) \| 收藏 \| 浏览/下载：15/0 \| 提交时间：2012/06/06 Classical Methods Euclidean Distance Fault Detection Algorithm Locally Linear Embedding System Fault Detection Tangent Space
	Numerical computations for long-wave short-wave interaction equations in semi-classical limit 期刊论文 OAI收割 JOURNAL OF COMPUTATIONAL PHYSICS, 2008, 卷号: 227, 期号: 19, 页码: 8489-8507 作者: Chang, Qianshun; Wong, Yau-Shu; Lin, Chi-Kun \| 收藏 \| 浏览/下载：11/0 \| 提交时间：2018/07/30 numerical methods finite-difference schemes long-wave short-wave interaction equations semi-classical limit
	A MLP-PNN neural network for CCD image super-resolution in wavelet packet domain (EI CONFERENCE) 会议论文 OAI收割 2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008, October 12, 2008 - October 14, 2008, Dalian, China Zhao X.; Fu D.; Zhai L. 收藏 \| 浏览/下载：68/0 \| 提交时间：2013/03/25 Image super-resolution methods process an input image sequence of a scene to obtain a still image with increased resolution. Classical approaches to this problem involve complex iterative minimization procedures typically with high computational costs. In this paper is proposed a novel algorithm for super-resolution that enables a substantial decrease in computer load. First decompose and reconstruct the image by wavelet packet. Before constructing the image use neural network in place of other rebuilding method to reconstruct the coefficients in the wavelet packet domain. Second probabilistic neural network architecture is used to perform a scattered-point interpolation of the image sequence data in the wavelet packet domain. The network kernel function is optimally determined for this problem by a MLP-PNN (Multi Layer Perceptron - Probabilistic Neural Network) trained on synthetic data. Network parameters dependent on the sequence noise level. This super-sampled image is spatially Altered to correct finite pixel size effects to yield the final high-resolution estimate. This method can decrease the calculation cost and get perfect PSNR. Results are presented showing the quality of the proposed method. 2008 IEEE.
	Affine object recognition and affine parameters estimation based on covariant matrix (EI CONFERENCE) 会议论文 OAI收割 2008 International Symposium on Information Science and Engineering, ISISE 2008, December 20, 2008 - December 22, 2008, Shanghai, China 作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y. 收藏 \| 浏览/下载：135/0 \| 提交时间：2013/03/25 A new method of affine object recognition and affine parameters estimation is presented. For a real-time image and a group of templates in addition firstly on the basis of correct recognition we segment the object regions in them and compute their covariant matrices. Secondly it can estimate affine parameters exactly normalize the ellipse regions defined by covariant matrices to circle regions to get rotational invariants and the estimated error is within 3%. 2008 IEEE. and compute the similarity function value between rotational invariants of real-time image and every template respectively. Then compare the values with threshold set in advance if more than one value is larger than threshold take the corresponding templates as candidates and compute affine matrix between real-time image and every candidate. Finally transform the realtime image with every affine matrix and match the result with corresponding candidate by classical matching methods. Experimental results show that the presented method is robust to illumination with low computational complexity and it can realize recognition of different affine objects
	An improved adaptive neural network method for control system (EI CONFERENCE) 会议论文 OAI收割 2006 International Conference on Machine Learning and Cybernetics, August 13, 2006 - August 16, 2006, Dalian, China Wang L.-M.; Xie M.-J.; Wu D.-Y. 收藏 \| 浏览/下载：16/0 \| 提交时间：2013/03/25 Classical methods for designing a controller depend on the accuracy of system model. However plant's models and other parts in a physical system can not accurately represent all possible dynamics. Thus the controller designed is usually not the optimal one. In this article a new simple adaptive control method which combines the classical frequency domain method with the neural network theory is proposed. Firstly we can obtain a controller using classical method. Secondly we use the coefficients in digitized controller equation as the initial values of an Adaline network. Finally LMS learning rules is used to adjust the weights adaptively. Experimental results show that this method is very effective in improving the performance of conventional controller. 2006 IEEE.
	TMRG studies on spin alignment in molecule-based ferrimagnetics 期刊论文 OAI收割 Physics Letters A, 2005, 卷号: 338, 期号: 3-5, 页码: 315-322 Q. M. Liu; K. L. Yao; Z. L. Liu 收藏 \| 浏览/下载：11/0 \| 提交时间：2012/04/14 molecular magnet spin lattice model renormalization group methods ferrimagnetics simple classical pictures crystal-structure breakdown chain
	TMRG studies on spin alignment in molecule-based ferrimagnetics 期刊论文 OAI收割 Physics Letters A, 2005, 卷号: 338, 期号: 3-5, 页码: 315-322 Q. M. Liu; K. L. Yao; Z. L. Liu 收藏 \| 浏览/下载：10/0 \| 提交时间：2012/05/17 molecular magnet spin lattice model renormalization group methods ferrimagnetics simple classical pictures crystal-structure breakdown chain