检索结果-内蒙古大学图书馆

2012 3rd International Conference on Mechanical and Aerospace Engineering, ICMAE 2012

作者： Nader Nabavi, S. Akbarzadeh, Alireza Abolghasemi, Saeed Center of Excellence on Soft Computing and Intelligent Information Processing Mechanical Engineering Department Ferdowsi University of Mashhad Mashhad Iran

ISBN: (纸本)9783037855140

In this paper, kinematic relationships for a 3-PRR planar parallel robot are first presented. The robot dynamics equations are formulated using Lagrange equations of first kind. The derived equations are a mixed set of differential and algebraic constraint equations, DAE, which must be satisfied simultaneously. In order to solve the robot dynamic equations, a new method is presented in which the dynamics equation is first partitioned into two parts. The constraint equations and the dependent coordinates are next eliminated. This reduces the dynamic equations to a set of differential equations as a function of three independent coordinates. Finally, a trajectory for the robot end-effector is specified and PD controller which follows the desired trajectory is implemented. The proposed method significantly simplifies the solution of the dynamics equations. © (2012) Trans Tech Publications, Switzerland.

关键词： Dynamics

来源：评论

学校读者我要写书评

暂无评论

A new method for precision of a serpentine snake-like robot

A new method for precision of a serpentine snake-like robot

引用

2012 3rd International Conference on Mechanical and Aerospace Engineering, ICMAE 2012

作者： Sarrafan, Siavash Akbarzadeh, Alireza Center of Excellence on Soft Computing and Intelligent Information Processing Mechanical Engineering Department Ferdowsi University of Mashhad Mashhad Iran

ISBN: (纸本)9783037855140

In this paper, a planar snake-like robot travelling in serpentine locomotion is considered. A method is presented where structural and gait control parameters are used to obtain the minimum snake-robot positional error, geometrical error. Two structural parameters, length and mass of each link as well as two control parameters, initial winding angle (α0) and arc length (s) are considered. Each of the four input parameters is examined at five different levels. The method uses Taguchi experimental techniques and analyzes effects of uncertainties by means of adding noise to the robot parameters. Significance of the input parameters is also determined using Analysis of Variance. © (2012) Trans Tech Publications, Switzerland.

关键词： Taguchi methods

来源：评论

学校读者我要写书评

暂无评论

A novel learning algorithm based on a multi-agent structure for solving multi-mode resource-constrained project scheduling problem

A novel learning algorithm based on a multi-agent structure ...

引用

4th FTRA International Conference on Computer Science and Its Applications, CSA 2012

作者： Mirzaei, Omid Akbarzadeh-T., Mohammad-R. Department of Computer Engineering Mashhad Branch Islamic Azad University Mashhad Iran Center of Excellence on Soft Computing and Intelligent Information Processing Ferdowsi University of Mashhad Mashhad Iran

ISBN: (纸本)9789400756984

The resource-constrained project scheduling problem (RCPSP) includes activities which have to be scheduled due to precedence and resource restrictions such that an objective is satisfied. There are several variants of this problem currently, and also different objectives are considered with regards to the specific applications. This paper tries to introduce a new multi-agent learning algorithm (MALA) for solving the multi-mode resource-constrained project scheduling problem (MMRCPSP), in which the activities of the project can be performed in multiple execution modes. This work aims to minimize the total project duration which is referred to its makespan. The experimental results show that our method is a new one for this specific problem and can outperform other algorithms in different areas. © 2012 Springer Science+Business Media.

关键词： Multi agent systems

来源：评论

学校读者我要写书评

暂无评论

A dynamic-growing fuzzy-neuro controller, application to a 3PSP parallel robot

A dynamic-growing fuzzy-neuro controller, application to a 3...

引用

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： F. Mohsen Jalaeian Mohammad-R. Akbarzadeh-T Alireza Akbarzadeh Mostafa Ghaemi Center of Excellence on Soft Computing and Intelligent Information processing Ferdowsi University of Mashhad Iran

To date, various paradigms of soft-computing have been used to solve many modern problems. Among them, a self organizing combination of fuzzy systems and neural networks can make a powerful decision making system. Here, a Dynamic Growing Fuzzy Neural Controller (DGFNC) is combined with an adaptive strategy and applied to a 3PSP parallel robot position control problem. Specifically, the dynamic growing mechanism is considered in more detail. In contrast to other self-organizing methods, DGFNC adds new rules more conservatively; hence the pruning mechanism is omitted. Instead, the adaptive strategy `adapts' the control system to parameter variation. Furthermore, a sliding mode-based nonlinear controller ensures system stability. The resulting general control strategy aims to achieve faster response with less computation while maintaining overall stability. Finally, the 3PSP is chosen due to its complex dynamics and the utility of such approaches in modern industrial systems. Several simulations support the merits of the proposed DGFNC strategy as applied to the 3PSP robot.

关键词： Mathematical model Fuzzy neural networks Fuzzy control Parallel robots Equations Joints

来源：评论

学校读者我要写书评

暂无评论

A Novel Neuron in Kernel Domain

引用

International Scholarly Research Notices 2013年第1期2013卷

作者： Zahra Khandan Hadi Sadoghi Yazdi Department of Computer Science Ferdowsi University of Mashhad Mashhad Iranum.ac.ir Center of Excellence on Soft Computing and Intelligent Information Processing Ferdowsi University of Mashhad Iranum.ac.ir

Kernel-based neural network (KNN) is proposed as a neuron that is applicable in online learning with adaptive parameters. This neuron with adaptive kernel parameter can classify data accurately instead of using a multilayer error backpropagation neural network. The proposed method, whose heart is kernel least-mean-square, can reduce memory requirement with sparsification technique, and the kernel can adaptively spread. Our experiments will reveal that this method is much faster and more accurate than previous online learning algorithms.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Adaptive Interval Type-2 Fuzzy PI Sliding Mode Control with optimization of membership functions using genetic algorithm

Adaptive Interval Type-2 Fuzzy PI Sliding Mode Control with ...

引用

International eConference on Computer and Knowledge Engineering (ICCKE)

作者： Mostafa Ghaemi Mohammad-R. Akbarzadeh-T Mohsen Jalaeian-F Center of Excellence on Soft-Computing and Intelligent Information Processing Ferdowsi University of Mashhad Mashhad Iran

A new stable Adaptive Interval Type-2 Fuzzy Proportional Integral Sliding Mode Controller (AI2FPISMC) is introduced here to control a class of nonlinear systems. The proposed method is based on interval type-2 fuzzy logic system (IT2FLS) whose antecedent and consequent membership functions are interval type-2 fuzzy sets. IT2FLS is utilized to approximate unknown nonlinear functions. To achieve high performance, optimizing membership functions (MFs) of interval type-2 fuzzy sets (IT2FS) is required. Genetic algorithm (GA) is a parallel search optimization method; that here contributes to optimize the MFs. In order to cope with the chattering of sliding mode controller, PI control law is proposed and Lyapunov analysis is utilized to prove asymptotic stability of the proposed approach. The adaptation laws are derived using Lyapunov approach. Two nonlinear system simulation examples are presented to verify the effectiveness of the proposed method, and their results confirm the optimization merits.

关键词： Genetic algorithms Nonlinear systems Adaptive systems Fuzzy logic Uncertainty Sliding mode control Optimization

来源：评论

学校读者我要写书评

暂无评论

An improved electromagnetism-like mechanism for capacitated vehicle routing problem

An improved electromagnetism-like mechanism for capacitated ...

引用

2012 2nd International eConference on Computer and Knowledge Engineering, ICCKE 2012

作者： Zarei, Akram Akbarzadeh-T., Mohammad-R. Gharehjanloo, Masoud Mashad Branch Islamic Azad University Mashhad Iran Center of Excellence on Soft Computing and Intelligent Information Processing Ferdowsi University of Mashhad Iran Department of Computer Engineering Minoodasht Branch Islamic Azad University Minoodasht Iran

ISBN: (纸本)9781467344760

In this paper a new electromagnetism-like mechanism is proposed for combinatorial optimization of capacitated vehicle routing problem. electromagnetism-like mechanism is a new metaheuristic method and inspired by the attraction and repulsion mechanism of the electromagnetism theory. we propose a new electromagnetism-like mechanism that it includes a new distance measure between solutions and new effective process of attraction and repulsion. In order to analyze the proposed algorithm a comparison is done with existing algorithm for this problem. Computational results show that the proposed electromagnetism-like mechanism algorithm has a good performance for the considered problem. © 2012 IEEE.

关键词： Vehicle routing

来源：评论

学校读者我要写书评

暂无评论

JDL fusion model for ECG arrhythmia detection

International Journal of Signal Processing, Image Processing...

引用

International Journal of Signal processing, Image processing and Pattern Recognition 2012年第4期5卷 69-82页

作者： Abharya, Ali Shahidi, Shahram Sadoghi Yazdi, H. Department of Computer Engineering Ferdowsi University of Mashhad Mashhad Iran Center of Excellence on Soft Computing and Intelligent Information Processing Ferdowsi University of Mashhad Iran

In this paper a novel quick automatic method is proposed for electrocardiogram (ECG). Signal classification to three classes include: the normal heart beats from the left bundle branch block (LBBB), right bundle branch block (RBBB), and paced beats. After noise reduction using wavelet threshold, appropriate features are extracted from the time-voltage waves including P, Q, S, and T waves in ECG signals. Novelty of this work is utilization of fast decision based on non-parametric statistical classifier and Multi Features Data Fusion (MFDF) strategy. Two stages of MFDF include feature classification into normal and abnormal categories. Based on decision template, first stage, and second part are voting and weighting the procedure. Post processing block is added for impulsive noise reduction in order to improve the results. We emphasized on the performance and efficiency of the optimized presented algorithm and minimum cost of system learning. The accuracy of final results is reliable and well performed.

关键词： Electrocardiograms

来源：评论

学校读者我要写书评

暂无评论

Quasi Support Vector Data Description (QSVDD)

International Journal of Signal Processing, Image Processing...

引用

International Journal of Signal processing, Image processing and Pattern Recognition 2012年第3期5卷 65-74页

作者： Allahyari, Yonos Sadoghi-Yazdi, Hadi Department of Computer Engineering Ferdowsi University of Mashhad Mashhad Iran Center of Excellence on Soft Computing and Intelligent Information Processing Ferdowsi University of Mashhad Iran

In this paper it is proposed a boundary based classifier that is inspired by SVDD and makes an important role for gravity center of training samples. In the proposed method all training samples intervene in determining the classifier boundary. Consequently, the relevant classifier isn't placed in the group of the support vector machines. Due to the employment of this idea, this method is called "Quasi Support Vector Data Description (QSVDD)". The ability of this method to eliminate the effect of noisy training samples on synthetic data is shown. Experiments on real data sets show that the proposed method describes more accurately lots of real data sets than SVDD.

关键词： Sampling

来源：评论

学校读者我要写书评

暂无评论

Distributed adaptive spanning tree for data gathering in Wireless Sensor Networks

Distributed adaptive spanning tree for data gathering in Wir...

引用

International Conference on Parallel Distributed and Grid computing (PDGC)

作者： Hanieh Poostchi Mohammad-R. Akbarzadeh-T. Seyed Mahmoud Taheri Center of Excellence on Soft Computing and Intelligent Information Processing Ferdowsi University of Mashhad Mashhad Iran Department of Mathematical Sciences Isfahan University of Technology Isfahan Iran

Wireless Sensor Networks (WSNs) consist of many independent sensor/processing elements that are highly interactive to reach a unifying goal. Providing a suitable infrastructure for this interaction is the first step to support intra-network processing. Such underlying infrastructure should also scale well with network properties, prolong the network life and balance the load among sensors as much as possible. In this paper, we propose a novel distributed adaptive spanning tree based on Markov property interpretation in WSNs that not only enables consensus processing, but also improves network performance. The tree is constructed using a new energy efficient coverage cost and distributed Voronoi Tessellation. The utility of the proposed approach is illustrated by applying this interaction architecture for data gathering tasks in WSNs.

关键词： Wireless sensor networks

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：