检索结果分析
成果/Result
成果类型
- 期刊论文
- 学位论文
- 专利
- 会议论文
- 科技成果
- 标准
- 专著
- 产品
- 科技报告
- 政策法规
- 内部文献
- 报纸
- RNN for Solving Time-Variant Generalized Sylvester Equation With Applications to Robots and Acoustic Source Localization
- IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICSJin, Long Yan, Jingkun Du, Xiujuan Xiao, Xiuchun Fu, Dongyang 出版年：2020
- A generalized Sylvester equation is a special formulation containing the Sylvester equation, the Lyapunov equation and the Stein equation, which is often encountered in various fields. However, the time-variant generaliz...
- On Generalized RMP Scheme for Redundant Robot Manipulators Aided With Dynamic Neural Networks and Nonconvex Bound Constraints
- IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICSXie, Zhengtai Jin, Long Du, Xiujuan Xiao, Xiuchun Li, Hongxin Li, Shuai 出版年：2019
- In this paper, in order to analyze the existing repetitive motion planning (RMP) schemes for kinematic control of redundant robot manipulators, a generalized RMP scheme, which systematizes the existing RMP schemes, is pr...
- A Data-Driven Cyclic-Motion Generation Scheme for Kinematic Control of Redundant Manipulators
- IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGYXie, Zhengtai Jin, Long Luo, Xin Li, Shuai Xiao, Xiuchun 出版年：2021
- Redundant manipulators are no doubt indispensable devices in industrial production. There are various works on the redundancy resolution of redundant manipulators in performing a given task with the manipulator model inf...
- Modified gradient neural networks for solving the time-varying Sylvester equation with adaptive coefficients and elimination of matrix inversion
- NEUROCOMPUTINGLiao, Shan Liu, Jiayong Xiao, Xiuchun Fu, Dongyang Wang, Guancheng Jin, Long 出版年：2020
- In SCIentific and engineering fields, the solutions to many problems can be transformed into finding the solutions to Sylvester equation, for which various computational methods (e.g., recurrent neural network, RNN) have...
- A parallel computing method based on zeroing neural networks for time-varying complex-valued matrix Moore-Penrose inversion
- INFORMATION SCIENCESXiao, Xiuchun Jiang, Chengze Lu, Huiyan Jin, Long Liu, Dazhao Huang, Haoen Pan, Yi 出版年：2020
- This paper analyzes the existing zeroing neural network (ZNN) models from the perspective of control theory. It proposes an exclusive ZNN model for solving the dynamic complex-valued matrix Moore-Penrose inverse problem:...
- Reformative Noise-Immune Neural Network for Equality-Constrained Optimization Applied to Image Target Detection
- IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTINGYing Liufu Jin, Long Xu, Jinqiang Xiao, Xiuchun Fu, Dongyang 出版年：2022
- Equality-constrained optimization problem captures increasing attention in the fields of computer SCIence, control engineering, and applied mathematics. Almost all of the relevant issues suffer from kinds of intense or w...
- Nonconvex and Bound Constraint Zeroing Neural Network for Solving Time-Varying Complex-Valued Quadratic Programming Problem
- IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICSJiang, Chengze Xiao, Xiuchun Liu, Dazhao Huang, Haoen Xiao, Hua Lu, Huiyan 出版年：2021
- Many methods are known to solve the problem of real-valued and static quadratic programming (QP) effectively. However, few of them are still useful to solve the time-varying QP problem in the complex domain. In this stud...
- A Local Consensus Index Scheme for Random-Valued Impulse Noise Detection Systems
- IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMSXiao, Xiuchun Xiong, Neal N. Lai, Jianhuang Wang, Chang-Dong Sun, Zhenan Yan, Jingwen 出版年：2021
- The issue of impulse noise detection and reduction is a critical problem for image processing application systems. In order to detect impulse noises in corrupted images, a statistic named local consensus index (LCI) is p...
- Two neural dynamics approaches for computing system of time-varying nonlinear equations
- NEUROCOMPUTINGXiao, Xiuchun Fu, Dongyang Wang, Guancheng Liao, Shan Qi, Yimeng Huang, Haoen Jin, Long 出版年：2020
- The problem of solving time-varying nonlinear equations has received much attention in many fields of SCIence and engineering. In this paper, firstly, considering that the classical gradient-based neural dynamics (GND) m...
- Modified Newton Integration Neural Algorithm for Dynamic Complex-Valued Matrix Pseudoinversion Applied to Mobile Object Localization
- IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICSHuang, Haoen Fu, Dongyang Xiao, Xiuchun Ning, Yangyang Wang, Huan Jin, Long Liao, Shan 出版年：2021
- A dynamic complex-valued matrix pseudoinversion (DCVMP) is encountered in some special environments, where the system parameters contain the dynamic, magnitude, and phase information. Currently, most of the existing mode...
- Noise-Tolerant Zeroing Neural Network for Solving Non-Stationary Lyapunov Equation
- IEEE ACCESSYan, Jingkun Xiao, Xiuchun Li, Hongxin Zhang, Jiliang Yan, Jingwen Liu, Mei 出版年：2019
- As a crucial means for stability analysis in control systems, the Lyapunov equation is applied in many fields of SCIence and engineering. There are some methods proposed and studied for solving the non-stationary Lyapuno...
- Coevolutionary Neural Solution for Nonconvex Optimization With Noise Tolerance
- IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMSJin, Long Su, Zeyu Fu, Dongyang Xiao, Xiuchun 出版年：2024
- The existing solutions for nonconvex optimization problems show satisfactory performance in noise-free scenarios. However, they are prone to yield inaccurate results in the presence of noise in real-world problems, which...
- A noise-suppressing Newton-Raphson iteration algorithm for solving the time-varying Lyapunov equation and robotic tracking problems
- INFORMATION SCIENCESWang, Guancheng Huang, Haoen Shi, Limei Wang, Chuhong Fu, Dongyang Jin, Long Xiao Xiuchun 出版年：2021
- The Newton-Raphson iteration (NRI) algorithm is a prevalent computational methodology in many fields and can be used to solve the time-varying Lyapunov equation. However, the performance of the traditional NRI (TNRI) alg...
- Analysis and Prediction of Significant Wave Height in the Beibu Gulf, South China Sea
- JOURNAL OF GEOPHYSICAL RESEARCH-OCEANSWang, Huan Fu, Dongyang Liu, Dazhao Xiao, Xiuchun He, Xianqiang Liu, Bei 出版年：2021
- A series of 40-year significant wave height (SWH) data were extracted from the ERA-Interim data set of the European Center for Medium-Range Weather Forecasts (ECMWF), for the Beibu Gulf and its adjacent waters in the Sou...
- Nonlinear RNN with noise-immune: A robust and learning-free method for hyperspectral image target detection
- EXPERT SYSTEMS WITH APPLICATIONSXiao, Xiuchun Jiang, Chengze Jin, Long Huang, Haoen Wang, Guancheng 出版年：2023
- While the recurrent neural network (RNN) has achieved remarkable performance on dynamic and control tasks, its applications to image processing, particularly target detection are limited. Challenges arise from difference...
- Improved ZND model for solving dynamic linear complex matrix equation and its application
- NEURAL COMPUTING & APPLICATIONSSong, Zhiyuan Lu, Zhenyao Wu, Jiahao Xiao, Xiuchun Wang, Guancheng 出版年：2022
- The online solving of a dynamic linear complex matrix equation (DLCME) is commonly encountered in many fields, and it exists for lots of engineering applications. For solving the DLCME, the gradient neural dynamics (GND)...
- An Adaptive Gradient Neural Network to Solve Dynamic Linear Matrix Equations
- IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMSLiao, Shan Liu, Jiayong Qi, Yimeng Huang, Haoen Zheng, Rongfeng Xiao, Xiuchun 出版年：2022
- In this article, the existing approaches, including numerical algorithms as well as neural networks to solve dynamic linear matrix equations, have been presented and reviewed. Specifically, the conventional gradient recu...
- Modified Newton Integration Algorithm With Noise Tolerance Applied to Robotics
- IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMSFu, Dongyang Huang, Haoen Wei, Lin Xiao, Xiuchun Jin, Long Liao, Shan Fan, Jialiang Xie, Zhengtai 出版年：2022
- Currently, the Newton-Raphson iterative algorithm has been extensively employed in the fields of basic research and engineering. However, when noise components exist in a system, its performance is largely affected. To r...
- Modified Newton integration neural algorithm for solving the multi-linear <i>M</i>-tensor equation
- APPLIED SOFT COMPUTINGHuang, Haoen Fu, Dongyang Zhang, Jiazheng Xiao, Xiuchun Wang, Guancheng Liao, Shan 出版年：2020
- This paper attends to solve the multi-linear equations with special structure, e.g., the multi-linear M-tensor equation, which frequently appears in engineering applications such as deep learning and hypergraph. For its ...
- A zeroing neural dynamics based acceleration optimization approach for optimizers in deep neural networks
- NEURAL NETWORKSLiao, Shan Li, Shubin Liu, Jiayong Huang, Haoen Xiao, Xiuchun 出版年：2022
- The first-order optimizers in deep neural networks (DNN) are of pivotal essence for a concrete loss function to reach the local minimum or global one on the loss surface within convergence time. However, each optimizer p...
- Robust neural dynamics with adaptive coefficient applied to solve the dynamic matrix square root
- COMPLEX & INTELLIGENT SYSTEMSJiang, Chengze Wu, Chaomin Xiao, Xiuchun Lin, Cong 出版年：2023
- Zeroing neural networks (ZNN) have shown their state-of-the-art performance on dynamic problems. However, ZNNs are vulnerable to perturbations, which causes reliability concerns in these models owing to the potentially s...
- Parameter estimation of the exponentially damped sinusoids signal using a specific neural network
- NEUROCOMPUTINGXiao, Xiuchun Lai, Jian-Huang Wang, Chang-Dong 出版年：2014
- The problem of estimating the parameters of exponentially damped sinusoids (EDSs) signal has received very much attention in many fields. In this paper, a specific neural network termed EDSNN for parameter estimation of ...
- Adaptive Zeroing-Gradient Controller for Ship Course Tracking With Near Singularity Considered and Zero Theoretical Tracking Error
- IEEE ACCESSFu, Dongyang Wang, Huan Xiao, Xiuchun Liao, Shan Jin, Long 出版年：2019
- The zeroing-gradient (ZG) method, a combination of two neural dynamics methods, has been leveraged to construct controller for solving ship course tracking problem with near singularity considered. In this paper, the exi...
- A Generalized Complex-Valued Constrained Energy Minimization Scheme for the Arctic Sea Ice Extraction Aided With Neural Algorithm
- IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSINGFu, Dongyang Huang, Haoen Xiao, Xiuchun Xia, Linghui Jin, Long 出版年：2022
- Due to the significant role of sea ice in the Arctic-related research, developing high-precision and robust Arctic sea ice extraction techniques for multi-source remote-sensing images encounters a great challenge. In the...
- Neural Dynamics for Control of Industrial Agitator Tank With Rapid Convergence and Perturbations Rejection
- IEEE ACCESSDuan, Wenhui Xiao, Xiuchun Fu, Dongyang Yan, Jingwen Liu, Mei Zhang, Jiliang Jin, Long 出版年：2019
- The industrial agitator tank is a widely used equipment in the chemical industry for the production of the chemical reagents. The high-performance agitator tank controller is critical to increase its productivity. In thi...
- CXR-RefineDet: Single-Shot Refinement Neural Network for Chest X-Ray Radiograph Based on Multiple Lesions Detection
- JOURNAL OF HEALTHCARE ENGINEERINGLin, Cong Zheng, Yongbin Xiao, Xiuchun Lin, Jialun 出版年：2022
- The workload of radiologists has dramatically increased in the context of the COVID-19 pandemic, causing misdiagnosis and missed diagnosis of diseases. The use of artificial intelligence technology can assist doctors in ...
- Modified Newton Integration Algorithm With Noise Tolerance for Image Deblurring
- IEEE TRANSACTIONS ON COMPUTATIONAL IMAGINGLiao, Shan Huang, Haoen Liu, Jiayong Xiao, Xiuchun Li, Xiaoyang Li, Shubin 出版年：2021
- This paper addresses image deblurring problem, which consists of recovering a rather high resolution image from its blurred and noisy observation version. Different from the existing solving methods, influence of noise p...
- An Optimized Method for Bayesian Connectivity Change Point Model
- JOURNAL OF COMPUTATIONAL BIOLOGYXiao, Xiuchun Liu, Bing Zhang, Jing Xiao, Xueli Pan, Yi 出版年：2018
- The brain undergoes functional dynamic changes at all times. Investigating functional dynamics has been recently verified to be helpful for detecting psychological conditions and powerful for analyzing disease-related ab...
- ACGND: towards lower complexity and fast solution for dynamic tensor inversion
- COMPLEX & INTELLIGENT SYSTEMSYe, Aiping Xiao, Xiuchun Xiao, Hua Jiang, Chengze Lin, Cong 出版年：2024
- Dynamic Tensor Inversion (DTI) is an emerging issue in recent research, prevalent in artificial intelligence development frameworks such as TensorFlow and PyTorch. Traditional numerical methods suffer significant lagging...
- A dynamic matrix equation solution method based on NCBC-ZNN and its application on hyperspectral image multi-target detection
- APPLIED INTELLIGENCEHe, Huiting Jiang, Chengze Xiao, Xiuchun Wang, Guancheng 出版年：2023
- For effectively solving dynamic matrix equation (DME) problems, a non-convex and bound-constrained zeroing neural network (NCBC-ZNN) model is designed to relax the convex constraint on the demand of activation function a...
