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- 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...
- 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...
- 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...
- 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...
- 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...
- 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...
- 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...
- 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...
- 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)...
- 基于次序统计量像素灰度相似度的图像双边滤波
- 《计算机辅助设计与图形学学报》肖秀春 彭群生 卢晓敏 王章野 张雨浓 姜孝华 出版年：2011
- 针对一般双边滤波器定义中的像素灰度相似度函数易受图像噪声影响,不能很好地表征像素之间的实际相似性的问题,设计了一个基于次序统计量的像素灰度相似度函数.基于图像中相邻像素之间的相关性,可近似地将某像素的1环邻域所有像素的灰...
- 关键词：特征保留 次序统计量 双边滤波 相似度函数 图像去噪 被引量：11
- 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...
- An Asynchronous Encryption Arithmetic Based on Laguerre Chaotic Neural Networks
- PROCEEDINGS OF THE 2009 WRI GLOBAL CONGRESS ON INTELLIGENT SYSTEMS, VOL IVZou, Ajin Xiao, Xiuchun 出版年：2009
- Based on best square approximation theory, new feed-forward neural networks are introduced where hidden units activation functions employ Laguerre orthogonal polynomials Use these neural networks as the identifier model ...
- 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 ...
- 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...
- 基于混沌控制系统的神经网络异步加密
- 《计算机工程》邹阿金 肖秀春 出版年：2008
- 将Chebyshev神经网络模型作为混沌控制系统辨识器,任选系统初值和非线性、非周期性控制律,通过Chebyshev混沌神经网络产生混沌序列,求出该序列的排序置换及逆置换,对明文置换后即可得密文,密文逆置换即可还原得到明...
- 关键词：神经网络 混沌 置换 异步加密 控制系统 被引量：8
- Norm-Based Adaptive Coefficient ZNN for Solving the Time-Dependent Algebraic Riccati Equation
- IEEE-CAA JOURNAL OF AUTOMATICA SINICAJiang, Chengze Xiao, Xiuchun 出版年：2023
- The time-dependent algebraic Riccati equation (TDARE) problem is applied to many optimal control industrial applications. It is susceptible to interference from measurement noises in the virtual environment, which curren...
- 人工神经网络在食品生物工程中的应用
- 《食品工程》郑惠娜 章超桦 秦小明 肖秀春 出版年：2012
- 简述了人工神经网络的基本原理与使用方法,并介绍了其在食品微生物发酵、食品酶工程、食品生物活性物质等食品生物工程领域的研究进展,旨在为人工神经网络在食品工业中的更广泛应用提供一定的理论基础依据。
- 关键词：人工神经网络 食品 生物工程 被引量：7
- 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...
- 第二类Chebyshev前向神经网络权值直接确定及结构自适应确定
- 《大连海事大学学报》肖秀春 张雨浓 姜孝华 邹阿金 出版年：2009
- 为克服BP神经网络模型及其学习算法中的固有缺陷,构造了第二类Chebyshev前向神经网络模型,提出该神经网络模型权值直接确定法和结构自适应确定法.理论分析及仿真实验均表明,该系统弥补了BP神经网络的某些固有缺陷.相比同...
- 关键词：神经网络 正交多项式 权值直接确定 网络结构 自适应 被引量：7
- MISO多元广义多项式神经网络及其权值直接求解
- 《中山大学学报（自然科学版）》肖秀春 张雨浓 姜孝华 出版年：2009
- 基于多元函数逼近理论,构建一种M ISO(Mu ltip le-Input,S ingle-Output)多元广义多项式神经网络。依据最小二乘原理,推导出基于伪逆的最优权值一步计算公式———简称为权值直接确定法;在此基础...
- 关键词：多元广义多项式 权值直接确定 结构自适应确定 指数增长 折半删减 被引量：7
