检索结果-内蒙古大学图书馆

A membrane-inspired algorithm with a memory mechanism for knapsack problems

Journal of Zhejiang University-Science C(Computers and Electronics) 2013年第8期14卷 612-622页

作者： Juan-juan HE Jian-hua XIAO Xiao-long SHI Tao SONG Key Laboratory of Image Processing and Intelligent Control School of AutomationHuazhong University of Science and Technology The Logistics Research Center Nankai University

Membrane algorithms are a class of distributed and parallel algorithms inspired by the structure and behavior of living cells. Many attractive features of living cells have already been abstracted as operators to improve the performance of algorithms. In this work, inspired by the function of biological neuron cells storing information, we consider a memory mechanism by introducing memory modules into a membrane algorithm. The framework of the algorithm consists of two kinds of modules (computation modules and memory modules), both of which are arranged in a ring neighborhood topology. They can store and process information, and exchange information with each other. We test our method on a knapsack problem to demonstrate its feasibility and effectiveness. During the process of approaching the optimum solution, feasible solutions are evolved by rewriting rules in each module, and the information transfers according to directions defined by communication rules. Simulation results showed that the performance of membrane algorithms with memory cells is superior to that of algorithms without memory cells for solving a knapsack problem. Furthermore, the memory mechanism can prevent premature convergence and increase the possibility of finding a global solution.

关键词： Membrane algorithm Memory mechanism Knapsack problem

来源：评论

学校读者我要写书评

暂无评论

Parallel Factorization Machine Recommended Algorithm Based on MapReduce

Parallel Factorization Machine Recommended Algorithm Based o...

引用

International Conference on Semantics, Knowledge and Grid (SKG)

作者： Hanxiao Sun Wenjie Wang Zhongzhi Shi School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781479967162

Factorization Machines [1, 2] is a new factorization model that can combine the merits of SVM model with matrix factorization models. It can model all the interactive actions using factorized parameters. So it could mimic most other matrix factorization models by feature engineering. Due to the superior flexible, Factorization Machines has already been widely used in many recommended algorithm competitions and practical online recommended system. But, because of the prevalence of large dataset, there is a need to improve the scalability of computation in factorization machines model. In this paper, we propose a parallel algorithm can be used on Factorization Machines model. The experimental results show that the proposed algorithm has good speed-up and scalability on big dataset.

关键词： Frequency modulation Computational modeling Data models Computers Parallel algorithms Stochastic processes Algorithm design and analysis

来源：评论

学校读者我要写书评

暂无评论

New criteria for exponential stability of delayed recurrent neural networks

引用

Neurocomputing 2014年 134卷 182-188页

作者： Jian Xiao Zhigang Zeng Ailong Wu School of Automation Huazhong University of Science and Technology Wuhan 430074 China Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan 430074 China College of Mathematics and Statistics Hubei Normal University Huangshi 435002 China

In this paper, we investigate exponential stability of delayed recurrent neural networks. By using the delay partitioning method, some sufficient conditions are established to guarantee exponential stability of delayed recurrent neural networks under two different conditions with constructing new Lyapunov–Krasvoskii functional. This partitioning approach can reduce the conservatism comparing with some previous results of stability. At last, numerical examples are given out to show the effectiveness and advantage of our results.

关键词： Recurrent neural networks Exponential stability Time delay Delay partitioning approach

来源：评论

学校读者我要写书评

暂无评论

Stability Analysis of Impulsive Positive Systems

引用

IFAC Proceedings Volumes 2014年第3期47卷 5987-5991页

作者： Ji-Shi Zhang Yan-Wu Wang Jiang-Wen Xiao Zhi-Hong Guan School of Automation Huazhong University of Science and Technology Wuhan 430074 China School of Software Henan University Kaifeng 475004 China Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan 430074 China

This paper is concerned with the problems of stability for a class of impulsive positive systems. An impulsive positive system model is introduced for the first time and a necessary and sufficient condition guaranteeing the positivity of this kind of system is proposed. Several sufficient criteria of global exponential stability and global asymptotical stability for impulsive positive systems are established respectively by using a linear copositive Lyapunov function. Two numerical examples are given to illustrate the effectiveness and applicability of the proposed results.

关键词： Impulsive positive system Positivity Exponentially stable Asymptotically stable Linear copositive Lyapunov function

来源：评论

学校读者我要写书评

暂无评论

Non-fragile Observer Design for Fractional-order One-sided Lipschitz Nonlinear Systems

引用

International Journal of Automation and computing 2013年第4期10卷 296-302页

作者： Yong-Hong Lan Wen-Jie Li Yan Zhou Yi-Ping Luo School of Information Engineering Xiangtan University Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University Institute of Intelligent Control Hunan Institute of Engineering

This paper is concerned with the problem of the full-order observer design for a class of fractional-order Lipschitz nonlinear systems. By introducing a continuous frequency distributed equivalent model and using an indirect Lyapunov approach, the sufficient condition for asymptotic stability of the full-order observer error dynamic system is presented. The stability condition is obtained in terms of LMI, which is less conservative than the existing one. A numerical example demonstrates the validity of this approach.

关键词： Fractional-order nonlinear system observer design indirect Lyapunov approach linear matrix inequality （LMI）.

来源：评论

学校读者我要写书评

暂无评论

Indoor localization system based on wearable posture sensors with incomplete observations

Indoor localization system based on wearable posture sensors...

引用

International Conference on Modelling, Identification and control (ICMIC)

作者： Yuan Wang Jian Huang Yongji Wang Chunjing Tao Heping Yan Lifang Ma Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China R&D department of National Research Center for Rehabilitation Technical Aids Beijing China

ISBN: (纸本)9781479951055

Radio Frequency Identification (RFID) based indoor localization becomes a hotspot in the robotic research field recently. To overcome the shortcoming that plentiful tags are required in a normal RFID based localization system, this paper presents an indoor localization method by fusing measurements from wearable posture sensors and the absolute position information from scattered RFID tags. From the posture sensors, we can obtain the relative indoor localization data by summing up the vectors composed of step length and heading direction. Since this relative localization is highly affected by the cumulative error, the absolute positions of RFID tags are used as corrections if they are found within a read-range to the user. Because the RFID tags are sparsely placed in the indoor environment, the corrections can be achieved only at incomplete time instants. Therefore, a revised Kalman filter with incomplete observation is applied to the sensor fusion between the posture sensors and RFID tags. Experimental results show that the cumulative error of the system can be significantly reduced and the localization accuracy is enhanced through the sensor fusion.

关键词： Kalman filters Sensor systems Vectors RFID tags Magnetic sensors

来源：评论

学校读者我要写书评

暂无评论

Design and control of an intelligent walking-aid robot

Design and control of an intelligent walking-aid robot

引用

International Conference on Modelling, Identification and control (ICMIC)

作者： Rui Han Chunjing Tao Jian Huang Yongji Wang Heping Yan Lifang Ma Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China R&D department of National Research Center for Rehabilitation Technical Aids Beijing China

ISBN: (纸本)9781479951055

An intelligent walking-aid robot is presented for walking assistance, training and rehabilitation of the elderly. The robot is intended to provide physical support and mobility aid for the old people during their walking based on recognizing their motion intentions online. A force measuring system comprised of force sensing resisters (FSRs) is designed to obtain the interaction forces between the user and the robot. The user's motion intention is then estimated by analyzing the relationship between the measured interaction forces and human intention force/torque. Further the estimated intention is used to guide the admittance based motion control of robot. To ensure a safe walking, a laser range finder (LRF) is used to detect the distance between the robot and the user's legs. A distance restraint control is also designed and taken into action when the distance is found beyond a safe threshold. Experiments were conducted and the results verified the effectiveness of the developed robot system and control methods.

关键词： Legged locomotion Robot sensing systems Force measurement Force Motion measurement Laser modes

来源：评论

学校读者我要写书评

暂无评论

A robust CPD approach based on shape context

A robust CPD approach based on shape context

引用

Chinese control Conference (CCC)

作者： Yawen Yang Zhang Peng Peng Yu Qiao Jie Yang Sheng Zheng Wang The Key Laboratory of Ministry of Education for System Control and Information Processing Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai CN Merchant Marine College Shanghai Maritime University Shanghai CN

Point matching is an important component of image registration. Recent years, Coherent Point Drift (CPD) method becomes a very popular point matching approach. CPD treats point matching as a probability estimation problem and speeds up the process of matching a lot. In this method, one set of points are thought to be sampled from a Gaussian Mixture Model (GMM), which is centered by the other set of points. However, CPD is sensitive to outliers and noises, especially when the noise ratio increased or the number of outliers gets much high. To deal with this problem, we introduce shape context into the step of searching for matching points and then improve the form of prior probabilities of GMM in this paper. The main idea of our method is that if the most points in a data set are likely to be matched to a particular centroid, this Gaussian component should be have a more influence to GMM. Therefore, we set prior probability of GMM with the similarity between GMM components and the data set. And the computation of similarity is based on shape context. The experiments on 2D and 3D images show that when noise ratio is low, our method performs as well as CPD does, but as the ratio increased, our method is more robust and satisfactory than CPD.

关键词： Noise Shape Testing Context Robustness Three-dimensional displays Marine animals

来源：评论

学校读者我要写书评

暂无评论

Attractor flow analysis for recurrent neural network with back-to-back memristors

Attractor flow analysis for recurrent neural network with ba...

引用

IEEE Symposium on Foundations of Computational Intelligence, FOCI

作者： Gang Bao Zhigang Zeng School of Automation Huazhong University of Science and Technology Wuhan Hubei China Key Laboratory of Image Information Processing and Intelligent Control Ministry of Education Wuhan China college of Electrical Engineering and New Energy China Three Gorges University Yichang China

ISBN: (纸本)9781479944903

Memristor is a nonlinear resistor with the character of memory and is proved to be suitable for simulating synapse of neuron. This paper introduces two memristors in series with the same polarity (back-to-back) as simulator for neuron's synapse and presents the model of recurrent neural networks with such back-to-back memristors. By analysis techniques and fixed point theory, some sufficient conditions are obtained for recurrent neural network having single attractor flow and multiple attractors flow. At last, simulation with numeric examples is presented to illustrate our results.

关键词： Memristors Stability analysis Recurrent neural networks Resistance Numerical models

来源：评论

学校读者我要写书评

暂无评论

Adaptive control for power and thermal management of an integrated 5kW solid oxide fuel cell system

Adaptive control for power and thermal management of an inte...

引用

第十五届全国氢能会议暨第7届两岸三地氢能研讨会

作者： Lin Zhang Jianhua Jiang Xi Li Huan Cheng Jie Yang Jian Li School of Automation Key Laboratory of Education Ministry for Image Processing and Intelligent ControlHuazhong University of Science & TechnologyWuhan430074China School of Materials Science and Engineering State Key Laboratory of Material Processing and Die and Mould TechnologyHuazhong University of Science and TechnologyWuhan 430074China

A 5-kW dynamic solid oxide fuel cell(SOFC)system with a second air bypass has been developed with a model to perform both steady-state and dynamic analysis in this *** identifies and addresses the control challenges a... 详细信息

关键词： Solid oxide fuel cell (SOFC) Optimal set-points Load transitions RBF network based direct adaptive controller

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：