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Robust ART-2 neural network learning framework 鲁棒ART-2神经网络学习框架
Jiang-Bo Yin, Hongbin Shen
The ART-2 network is a typical adaptive resonance theory based neural network approach for clustering purpose and has been successfully used in many fields. However, one of the fatal shortcomings of traditional ART-2 is that its final results heavily depend on a pre-defined fixed vigilance threshold parameter, which makes it infeasible to be applied in different complicated applications. Another disadvantage of traditional ART-2 method is that the number of categories in the network will increase all the time with the continuous input. Considering these points, an improved algorithm of ART-2 has been presented in this paper called the Robust ART-2. We first systematically analyze the dynamic changes of the optimal vigilance threshold with the succession inputs and propose a new adaptive method to make the network itself can automatically choose the optimal threshold in various situations. Then we introduce a constraint parameter to confine the scale of ART-2 network by limiting the maximal number of categories of network. Simulation experiments including artificial and benchmark data sets demonstrate the effectiveness of our algorithm.
ART-2网络是一种典型的基于自适应共振理论的神经网络聚类方法,已成功应用于许多领域。然而,传统ART-2的一个致命缺点是其最终结果严重依赖于预先定义的固定警戒阈值参数,这使得它无法应用于不同的复杂应用。传统ART-2方法的另一个缺点是,随着输入的不断增加,网络中的类别数量会不断增加。考虑到这些问题,本文提出了一种改进的ART-2算法,称为鲁棒ART-2。首先系统地分析了最优警觉性阈值随连续输入的动态变化,提出了一种新的自适应方法,使网络本身能够在各种情况下自动选择最优阈值。然后引入约束参数,通过限制网络的最大类别数来限制ART-2网络的规模。包括人工数据集和基准数据集的仿真实验证明了该算法的有效性。
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引用次数: 1
Optimization of Titania humidity sensor model by improved genetic algorithms 基于改进遗传算法的二氧化钛湿度传感器模型优化
Liu Gang, Wang Xing-cheng, Zheng Kai, Yang Ming
The gel method is used in the experiment to prepare titanium film on the surface of quartz glass printed with comb silver electrodes, and by sintering, a series of humidity-sensitive elements are obtained. Taking equivalent circuit model parameters of Titania humidity sensor as optimizing object, an equivalent circuit optimization method is proposed based on improved genetic algorithm. Elitist strategy is added in select option of algorithm, and fitness function is suitably adjusted. Thereby, operational efficiency and accuracy of the algorithm are enhanced. Fitting curves and fitness function plots are obtained. The correctness of equivalent circuit is proved intuitionally by fitting curves. And the operating effects of algorithm are even more clearly expressed by fitness function plots. At the same time, the iterative method is used to compute parameter values of the equivalent circuit.
实验中采用凝胶法在梳状银电极印刷的石英玻璃表面制备钛膜,通过烧结得到一系列湿敏元件。以二氧化钛湿度传感器等效电路模型参数为优化对象,提出了一种基于改进遗传算法的等效电路优化方法。在算法的选择选项中加入了精英策略,并对适应度函数进行了适当调整。从而提高了算法的运算效率和精度。得到拟合曲线和适应度函数图。通过拟合曲线直观地证明了等效电路的正确性。通过适应度函数图更清晰地表达了算法的运行效果。同时,采用迭代法计算等效电路的参数值。
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引用次数: 0
Terramechanics-based modeling of locomotion characteristics of miniature tracked unmanned ground vehicle 基于地形力学的微型履带式无人地面车辆运动特性建模
Yue Ma, Quanmin Zhu, Q. Yan, Hailiang Zheng, A. Winfield
Locomotion is the fundamental characteristics of miniature tracked unmanned ground vehicle (TUGV), and this paper presented the locomotion characteristics of TUGV based on the theory of terramechanics. Firstly, model of TUGV in longitudinal motion wa s established, which demonstrates the relationship of motor current, motor torque and driving force. Subsequently, longitudinal slip/skid characteristics of one track was modeled and based on which turning characteristics of TUGV with two tracks were proposed correspondingly. Finally, experiments were carried out to de monstrate the developed methodology and procedure, which proved the significant validity on the conditions affecting turning radius.
运动是微型履带式无人地面车辆(TUGV)的基本特征,本文基于地形力学理论对微型履带式无人地面车辆的运动特性进行了分析。首先,建立了TUGV纵向运动模型,验证了电机电流、电机转矩和驱动力之间的关系;随后,对单轨纵向滑移特性进行建模,并在此基础上提出了双轨TUGV的转向特性。最后,通过实验验证了所建立的方法和程序,验证了该方法对影响转弯半径条件的有效性。
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引用次数: 1
Coupled network synchronization of non-identical Hindmarsh-Rose model 非相同Hindmarsh-Rose模型的耦合网络同步
Qiuju Jia, Zengqiang Chen
Neuron is the basic unit function of neuron system and information processing. Studying the initiation of action potential and firing patterns is useful to understand the mechanism of neural coding. Recently, the chaotic synchronization of neuron networks has been an urgent problem in neuroscience. Researches have shown that the synchronization of coupled neuron network has a close relationship Parkinson's disease and epilepsy. In this paper, we analyze the non-identical Hindmarsh-Rose neuron model coupled network with identical initial conditions and non-identical parameter set. Studying the role of network connection types and the coupling strength to the synchronization of neuron network may play a significance role to neuroscience and clinical medicine research.
神经元是神经元系统和信息处理的基本单位功能。研究动作电位的起始和放电模式有助于理解神经编码的机制。近年来,神经元网络的混沌同步问题已成为神经科学领域亟待解决的问题。研究表明,耦合神经元网络的同步性与帕金森病和癫痫有密切关系。本文分析了具有相同初始条件和非相同参数集的非相同Hindmarsh-Rose神经元模型耦合网络。研究网络连接类型和耦合强度对神经元网络同步的作用,对神经科学和临床医学研究具有重要意义。
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引用次数: 3
A modified multivariate EWMA control chart for monitoring process small shifts 一种改进的多变量EWMA控制图,用于监控过程小位移
Guangming Zhang, Ning Li, Shaoyuan Li
In this paper, a novel data-driven approach is presented to monitor processes influenced by gradual small shifts. The primary idea is to first build multivariate exponentially weighted moving average (MEWMA) model based on the originally measured variables to keep the memory effect of the process trend. Then introduce a unified Mahalanobis distance based monitoring statistic, which makes full use of the feature of the normal distribution of the process variables, to better capture the deviation of the process variables. A case study of the Tennessee Eastman process (TEP) is used to demonstrate the superiority of the proposed method over other conventional ones in performance and workload of the gradual small shifts monitoring.
本文提出了一种新的数据驱动方法来监测受渐进小位移影响的过程。其主要思想是首先在原始测量变量的基础上建立多元指数加权移动平均(MEWMA)模型,以保持过程趋势的记忆效应。然后引入统一的基于马氏距离的监测统计量,充分利用过程变量正态分布的特点,更好地捕捉过程变量的偏差。以田纳西伊士曼过程(TEP)为例,证明了该方法在渐进式小位移监测的性能和工作量方面优于其他传统方法。
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引用次数: 6
Numerical simulation of ellipsoid shaped charge penetrating concrete 椭球形装药侵彻混凝土的数值模拟
A. Zhu-Feng, B. Zhu-WeiHua, C. Xue-yuan, D. Yan-JunLai, Edward Hanna
Based on the finite element analysis with centered finite difference, this paper focuses on 3-D analysis of three kinds of shaped charge penetrating to concrete. The process of forming penetrators is depicted in the test together with the process of penetration, which shows that under the same condition of diameter, the one with higher axis can form the rod-shaped penetrator with high velocity, large slenderness and rational mass distribution, but the effectiveness of caviting is much worse than the other two. Under the concrete model of Johnson-Holmquist-Concrete(JHC), the process of concrete board damage are analyzed, and we also obtained the data related to the depth and the cavity radius at the same time. Penetration and damage of concrete target simulated agree well with test-data, which indicate that: the simulation in this paper is feasible and reliable.
基于中心有限差分法的有限元分析,对三种聚能药侵彻混凝土进行了三维分析。在试验中,结合侵彻过程描述了侵彻成形过程,结果表明:在相同直径条件下,高轴线的侵彻体可以形成速度高、长细比大、质量分布合理的杆状侵彻体,但空化效果远不如其他两种。在Johnson-Holmquist-Concrete(JHC)混凝土模型下,对混凝土板的损伤过程进行了分析,同时获得了深度和空洞半径的相关数据。模拟的混凝土目标侵彻和损伤情况与试验数据吻合较好,表明本文模拟方法可行、可靠。
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引用次数: 6
An efficient communication system for noisy environments 一种适用于嘈杂环境的高效通信系统
M. Pawełczyk, M. Latos, M. I. Michalczyk, K. Czyz, K. Mazur
For environments subject to high level acoustic noise communication between people is difficult. This bemuses workers, limits working efficiency, and may even lead to accidents. Additionally, prolonged exposure to such noise results in damage to the human hearing system. A better isolation of people from the noisy machines is frequently technologically unfeasible or very expensive. Communication headsets available on the market are not ergonomic. On the other hand, they are not accepted in warm and humid environments because wearing them may cause skin galls. Therefore, at some places in mines, power plants, car factories, assembly lines, etc., the workers use earplugs made from an elastic noise absorbing material, and communication between them is limited to a set of gestures only. The aim of the paper is to present NoiseCom — a complex ergonomic earplug-based communication-improvement solution, integrating high passive and active noise reduction, enhancement of speech intelligibility and wireless speech transmission for a group of workers. Developed algorithms are presented and obtained results are reported based on recordings in real industrial conditions.
在高水平噪声环境中,人与人之间的通信是困难的。这使工人感到困惑,限制了工作效率,甚至可能导致事故。此外,长时间暴露在这种噪音中会对人的听觉系统造成损害。将人与嘈杂的机器更好地隔离往往在技术上是不可行的,或者是非常昂贵的。市面上的通讯耳机并不符合人体工程学。另一方面,它们在温暖潮湿的环境中不被接受,因为佩戴它们可能会导致皮肤发炎。因此,在矿山、发电厂、汽车厂、装配线等一些地方,工人们使用由弹性吸音材料制成的耳塞,他们之间的交流仅限于一组手势。本文的目的是介绍NoiseCom -一个复杂的符合人体工程学的基于耳塞的通信改进解决方案,集成了高被动和主动降噪,增强语音清晰度和无线语音传输,为一组工人。提出了开发的算法,并根据实际工业条件下的记录报告了得到的结果。
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引用次数: 3
The power of the minority-partly Bayesian update in non-Bayesian social learning 少数部分贝叶斯更新在非贝叶斯社会学习中的作用
Yucheng Wei, He Huang, Z. Weng, Xiaofan Wang
This paper introduces a model that agents use an information updating rule combining non-Bayesian learning and Bayesian learning in a social network. Signals from some distinguishing individuals aggregate through the network so that every agent could collect enough information about the true state. The observation from expert Bayesian agents will drive the average belief of the true state in the network convergence with possibility of 1 as time grows infinite. Instead of using a fully Bayesian manner, we choose a linear combination of some neighbor's Bayesian observation and the other's view directly. Under some mild assumption of existing at least an expert agent, the agent's beliefs of the underlying state of the world will increase by time, and the possibility of all agent's beliefs finally convergence to the underlying true state of the world become 1.
介绍了一种基于非贝叶斯学习和贝叶斯学习相结合的信息更新规则的社交网络智能体模型。来自不同个体的信号通过网络聚合,这样每个智能体都能收集到关于真实状态的足够信息。随着时间的无限增长,专家贝叶斯智能体的观察将驱动网络中真实状态的平均信念,其收敛的可能性为1。我们没有使用完全的贝叶斯方法,而是直接选择一些邻居的贝叶斯观测值和另一个邻居的观察值的线性组合。在至少存在一个专家智能体的温和假设下,智能体对世界底层状态的信念会随着时间的推移而增加,所有智能体的信念最终收敛到世界底层真实状态的可能性变为1。
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引用次数: 1
Fault detection and diagnosis for steam turbine based on kernel GDA 基于核GDA的汽轮机故障检测与诊断
Xi Zhang, Shihe Chen, Yaqing Zhu, Weiwu Yan
A novel fault detection and diagnosis method based on kernel generalized discriminant analysis (kernel GDA, KGDA) is proposed in order to solve the problem of turbine fault detection and diagnosis. Through kernel GDA, the data is mapped from original space to the high-dimensional feature space. Then the statistic distance between normal data and test data is constructed to detect whether a fault is occurring. If a fault has occurred, similar analysis is used to identify type of the faults. The proposed method is scalable to different steam turbine and rotating machineries. Its effectiveness is evaluated by simulation results of vibration signal fault dataset.
为了解决汽轮机故障检测与诊断问题,提出了一种基于核广义判别分析(kernel generalized discriminant analysis, KGDA)的故障检测与诊断方法。通过核GDA将数据从原始空间映射到高维特征空间。然后构造正常数据与测试数据之间的统计距离来检测是否发生故障。如果故障已经发生,可以通过类似的分析来确定故障的类型。该方法适用于不同的汽轮机和旋转机械。通过振动信号故障数据集的仿真结果验证了该方法的有效性。
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引用次数: 5
Multiple nonholonomic mobile robots formation coordinated control in obstacles environment 障碍物环境下多非完整移动机器人编队协调控制
Xiujuan Zheng, Huaiyu Wu, Lei Cheng, Yu-li Zhang
This paper addresses the formation coordinated control problem of nonholonomic mobile robots in obstacles environment. Based on each robot formation feedback between itself and its virtual structure and artificial potential field method, a decentralized controller is designed to maintain the formation to effectively track the target with desired velocities and avoid collisions. The formation control stability is proved with Lyapunov stability theory as well. Finally, the validity of the proposed formation controller is demonstrated with experiment simulation results in the case of six followers.
研究了障碍物环境下非完整移动机器人的编队协调控制问题。基于机器人自身与虚拟结构之间的编队反馈,结合人工势场法,设计了分散控制器,保持机器人的编队,有效跟踪目标,使其达到期望速度,避免碰撞。并用李雅普诺夫稳定性理论证明了编队控制的稳定性。最后,通过6个follower的实验仿真结果验证了所提编队控制器的有效性。
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引用次数: 7
期刊
Proceedings of 2011 International Conference on Modelling, Identification and Control
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