检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

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

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

1,171 篇 会议
441 篇 期刊文献
8 册 图书

馆藏范围

1,620 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

853 篇 工学
- 350 篇 计算机科学与技术...
- 347 篇 控制科学与工程
- 329 篇 软件工程
- 188 篇 机械工程
- 147 篇 电气工程
- 112 篇 信息与通信工程
- 103 篇 仪器科学与技术
- 94 篇 电子科学与技术（可...
- 83 篇 生物工程
- 76 篇 生物医学工程（可授...
- 73 篇 光学工程
- 55 篇 交通运输工程
- 48 篇 动力工程及工程热...
- 46 篇 力学（可授工学、理...
- 31 篇 化学工程与技术
- 30 篇 安全科学与工程
- 29 篇 建筑学
- 27 篇 土木工程
426 篇 理学
- 215 篇 数学
- 117 篇 物理学
- 100 篇 系统科学
- 90 篇 生物学
- 63 篇 统计学（可授理学、...
- 31 篇 化学
146 篇 管理学
- 113 篇 管理科学与工程(可...
- 42 篇 工商管理
- 34 篇 图书情报与档案管...
58 篇 医学
- 47 篇 临床医学
- 37 篇 基础医学(可授医学...
- 29 篇 药学(可授医学、理...
18 篇 法学
12 篇 经济学
7 篇 教育学
6 篇 农学
3 篇 艺术学
2 篇 文学
2 篇 军事学

主题

98 篇 robot sensing sy...
75 篇 mobile robots
73 篇 cameras
69 篇 control systems
67 篇 intelligent robo...
60 篇 robots
58 篇 navigation
53 篇 robotics and aut...
46 篇 humans
40 篇 robot kinematics
39 篇 feature extracti...
38 篇 robot vision sys...
35 篇 robustness
33 篇 trajectory
32 篇 sensor systems
32 篇 computer vision
32 篇 intelligent syst...
31 篇 shape
29 篇 systems engineer...
29 篇 kinematics

机构

49 篇 institute of sys...
40 篇 institutes for r...
38 篇 key laboratory o...
26 篇 institute of sys...
25 篇 shenyang institu...
21 篇 state key labora...
20 篇 department of el...
19 篇 institute of sys...
19 篇 university of ch...
19 篇 state key labora...
18 篇 institute of rob...
17 篇 school of electr...
16 篇 department of el...
16 篇 institute of sys...
13 篇 school of electr...
12 篇 department of el...
10 篇 institute of rob...
10 篇 school of electr...
10 篇 department of el...
9 篇 institute for sy...

作者

30 篇 carlos silvestre
28 篇 fernando j. t. e...
27 篇 a. pascoal
27 篇 qing-hao meng
25 篇 a.t. de almeida
25 篇 ming zeng
24 篇 urbano nunes
21 篇 meng qing-hao
20 篇 cristiano premeb...
20 篇 j. dias
19 篇 a. pedro aguiar
18 篇 lino marques
17 篇 anibal t. de alm...
17 篇 h. araujo
17 篇 r. araujo
16 篇 a.c. sanderson
16 篇 c. silvestre
15 篇 u. nunes
15 篇 jorge batista
14 篇 j. batista

语言

1,420 篇 英文
179 篇 其他
21 篇 中文

检索条件"机构=Institute for Systems and Robotics and Electrical Engineering and Computers"

共 1620 条记录，以下是1371-1380 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Global stabilization of an underactuated autonomous underwater vehicle via logic-based switching

Global stabilization of an underactuated autonomous underwat...

引用

IEEE Conference on Decision and Control

作者： A.P. Aguiar A.M. Pascoal Department Electrical Engineering Institute of Systems and Robotics and Instituto Superior Técnico Lisboa Portugal

The paper considers the problem of global stabilization of an underactuated autonomous underwater vehicle (AUV) to a point, with a desired orientation. Controllability and stabilizability properties of the vehicle model are discussed and a logic-based hybrid controller is proposed that yields global convergence of the AUV to an arbitrarily small neighborhood of the target point. Convergence and stability of the closed loop system are analyzed. To illustrate the control law developed, simulation results are presented using the model of the Sirene AUV.

关键词： Underwater vehicles Convergence Feedback control Vehicle dynamics Marine vehicles Control system synthesis Robots Stability analysis Control systems Remotely operated vehicles

来源：评论

学校读者我要写书评

暂无评论

Data fusion for compliant motion tasks based on human skills

Data fusion for compliant motion tasks based on human skills

引用

IEEE International Workshop on Intelligent Robots and systems (IROS)

作者： R. Cortesao R. Koeppe U. Nunes G. Hirzinger Electrical and Computer Engineering Department Institute of Systems and Robotics (ISR) University of Coimbra Coimbra Portugal Institute of Robotics and Mechatronics German Aerospace Center Germany

The paper discusses new developments of the data fusion paradigm due to Cortesao and Koeppe (1999, 2000). A bank of Kalman filters is analyzed in the fusion process. Experiments for a robotic compliant motion task (peg-in-hole) emerged from human skills are reported. Stereo vision and pose sense are fused to execute the task. Feedforward artificial neural networks (ANNs) are trained to transfer human skills to robotic manipulators.

关键词： Humans Sensor phenomena and characterization Stochastic resonance Robot sensing systems State estimation Information filtering Information filters Aerospace engineering Mechatronics Stereo vision

来源：评论

学校读者我要写书评

暂无评论

Cooperative Q-learning with heterogeneity in actions

Cooperative Q-learning with heterogeneity in actions

引用

IEEE International Conference on systems, Man and Cybernetics

作者： S.M. Reza MirFattah M.N. Ahmadabadi Institute for Studies on Theoretical Physics and Mathematics School of Intelligent Systems Tehran Iran Robotics and AI Laboratory Department of Electrical and Computer Engineering University of Tehran Tehran Iran

Cooperation in learning improves the speed of convergence and the quality of learning. Special care is needed when heterogeneous agents cooperate in learning. It is discussed that, cooperation in learning may cause the learning process to diverge if heterogeneity is not handled properly. In this paper, it is assumed that two heterogeneous Q-learning agents cooperate to learn. The heterogeneity is assumed in their action order (and not in their action set). A Q-learning-based method is introduced for the agents to learn the mapping among their actions. It is shown that, the agents are able to learn this mapping while cooperating in learning. Some simulation results are reported to show the effectiveness of the proposed method.

关键词： Intelligent agent Intelligent robots Humans Telecommunication control Artificial intelligence Laboratories Intelligent systems Physics Mathematics Convergence

来源：评论

学校读者我要写书评

暂无评论

A new approach to credit assignment in a team of cooperative Q-learning agents

A new approach to credit assignment in a team of cooperative...

引用

IEEE International Conference on systems, Man and Cybernetics

作者： A. Harati M.N. Ahmadabadi Institute for Studies on Theoretical Physics and Mathematics School of Intelligent Systems Tehran Iran Robotics and AI Laboratory Department of Electrical and Computer Engineering University of Tehran Tehran Iran

Q-learning is widely used in many multi agent systems. In most cases, a separate critic is considered for qualifying each individual agent behavior or it is assumed that the critic is completely aware of effects of all agents' actions on the team qualification. But, in many cases, the role of each team member in the group performance is not known. In order to distribute a common credit among the agents, a suitable criterion must be provided to estimate the role of each agent in the team performance and to judge if an agent has done a wrong action. In this paper two such criteria, named certainty and expertness, for a team of agents with parallel tasks are introduced. In addition, two methods for reinforcing the agents based on the proposed measures are provided. Some simulation results are also reported to show the effectiveness of the proposed measures and methods.

关键词： Intelligent agent Learning systems Multiagent systems Intelligent sensors Artificial intelligence Laboratories Intelligent systems Intelligent robots Physics Mathematics

来源：评论

学校读者我要写书评

暂无评论

An extension of weighted strategy sharing in cooperative Q-learning for specialized agents

An extension of weighted strategy sharing in cooperative Q-l...

引用

International Conference on Neural Information Processing

作者： S.M. Eshgh M.N. Ahmadabadi School of Intelligent Systems Institute of Studies in Theoretical Physics and Mathematics Tehran Iran Control and Intelligent Processing Center of Excellence and Robotics Laboratory Department of Electrical and Computer Engineering University of Tehran Tehran Iran

Using other agents' experiences and knowledge, a learning agent may learn faster, make fewer mistakes, and create some rides for unseen situations. These benefits will be gained if the learning agents know the area of expertise and the expertness values of each other. In this paper, some Q-learning agents with different skills and expertness levels cooperate in learning. The agents use some criteria to judge others information and knowledge. Four expertness criterion, certainty and entropy measures are used to assign degrees of importance to others' Q-Tables. Effects of measuring these values based on their whole Q-Table, a portion of Q-Tables that reflects their proficiencies, and the states in Q-Tables on the learning quality are studied. Simple strategy sharing and two different weighted strategy-sharing methods are used to combine the acquired knowledge from different agents.

关键词： Intelligent robots Intelligent agent Process control Control systems Intelligent control Laboratories Intelligent systems Physics Mathematics Entropy

来源：评论

学校读者我要写书评

暂无评论

Certainty and expertness-based credit assignment for cooperative Q-Learning agents with an AND-type task

Certainty and expertness-based credit assignment for coopera...

引用

International Conference on Neural Information Processing

作者： A. Harati M.N. Ahmadabadi School of Intelligent Systems Institute of Studies in Theoretical Physics and Mathematics Tehran Iran Control and Intelligent Processing Center of Excellence & AI and Robotics Laboratory Department of Electrical and Computer Engineering University of Tehran Tehran Iran

In multiagent reinforcement learning, inter-agent credit assignment is a fundamental problem, since a single scalar reinforcement signal is the only reliable feedback that teams of learning agents receive. This problem is more critical in groups of independent learners with a joint task. In this research, it is assumed that a critic agent receives the environment feedback and assigns a proper credit to each agent using some measures. Three of such measures for a team of cooperative agents with a parallel and AND-type task are introduced. These measures somehow compare the agents' knowledge. One of these criteria, called normal expertness, is a non-relative measure while two other ones (certainty and relative normal expertness) are relative measure. It is experimentally shown that relative measures work better as they contain more information for the critic agent.

关键词： Feedback Intelligent agent Intelligent robots Process control Control systems Intelligent control Artificial intelligence Robot kinematics Physics computing Reliability engineering

来源：评论

学校读者我要写书评

暂无评论

Adaptive neuro-fuzzy inference system for modelling and control

Adaptive neuro-fuzzy inference system for modelling and cont...

引用

International IEEE Conference on Intelligent systems, IS

作者： T.G.B. Amaral M.M. Crisostomo V.F. Pires Supenor School of Technology of Setlibal Polytechnic Institute of Setubal Setubal Portugal Institute of Systems and Robotics Electrical Engineering Department University of Coimbra Coimbra Portugal CAUTL I.S.T Technical University of Lisbon Portugal Superior School of Technology of Setúbal Polytechnic Institute of Setúbal Setubal Portugal

A new approach for an adaptive neuro-fuzzy inference system for modeling and control is proposed. This approach uses a general regression neural network with a different learning capability from the classical clustering algorithm normally used by this specific network. The antecedent parameters of the regression network are obtained through an iterative grid partition process instead of the usual gradient descent algorithm or the classical grid partition method in the literature of neural network modeling. The membership functions used in the antecedent part are asymmetric and with varying shapes (triangles, gaussian, trapezoidal, etc) which is less common in the fuzzy modeling literature. The consequent parameters are obtained using the least squares estimates algorithm. In the simulation, the adaptive neuro-fuzzy inference system architecture is used to model a nonlinear function and to control the motion of a helicopter in the hover flight mode with promising results.

关键词： Adaptive systems Programmable control Adaptive control Partitioning algorithms Neural networks Clustering algorithms Inference algorithms Iterative algorithms Iterative methods Shape

来源：评论

学校读者我要写书评

暂无评论

A new model of the visual feedback coordinate transformation in humans based on disturbance noise and feedback error that accounts for time delays

A new model of the visual feedback coordinate transformation...

引用

IEEE International Workshop on Intelligent Robots and systems (IROS)

作者： E. Oyama K.F. MacDorman T. Maeda S. Tachi A. Agah Science and Technology (AIST) National Institute for Advanced Industrial Science and Technology Tsukuba Ibaraki Japan Intelligent Robotics Laboratory Graduate School of Systems Engineering Wakayama University Wakayama Japan School of Engineering University of Tokyo Bunkyo Tokyo Japan Department of Electrical Engineering and Computer Science University of Kansas Lawrence KS USA

An essential factor in understanding the motor learning capability of humans, is the coordinate transformation learning of the visual feedback controller. Although a number of learning models for the visual feedback controller have been proposed, none has been able to establish a definitive approach. In our previous work, we have suggested a learning model that uses disturbance noise and the feedback error signal to learn the human visual feedback controller's coordinate transformation. However, the model does not fully consider the time delay in the visual feedback control loop. This paper presents a modified learning model taking into account the time delay and the convergence properties of the model. Numerical simulations are presented to illustrate the effectiveness of the proposed approach.

关键词： Humans Delay effects Adaptive control Error correction Biological system modeling Feedback control Convergence Kinematics Intelligent robots Velocity control

来源：评论

学校读者我要写书评

暂无评论

Intelligent Robotic systems - SIRS'99

Intelligent Robotic Systems - SIRS'99

引用

7th Symposium on Intelligent Robotic systems

作者： Araujo, H.J. Dias, J.M. Department of Electrical Engineering Institute of Systems and Robotics University of Coimbra 3030 Coimbra Portugal

来源：评论

学校读者我要写书评

暂无评论

Shape tracking using centroid-based methods 3rd

引用

3rd International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2001

作者： Abrantes, Arnaldo J. Marques, Jorge S. Department of Electrical and Computer Engineering Instituto Superior de Engenharia de Lisboa Lisbon Portugal Institute for Systems and Robotics Instituto Superior Técnico Lisbon Portugal

ISBN: (纸本)3540425233

Algorithms for tracking generic 2D object boundaries in a video sequence should not make strong assumptions about the shapes to be tracked. When only a weak prior is at hand, the tracker performance becomes heavily dependent on its ability to detect image features;to classify them as informative (i.e., belonging to the object boundary) or as outliers;and to match the informative features with corresponding model points. Unlike simpler approaches often adopted in tracking problems, this worklo oks at feature classification and matching as two unsupervised learning problems. Consequently, object tracking is converted into a problem of dynamic clustering of data, which is solved using competitive learning algorithms. It is shown that competitive learning is a key technique for obtaining accurate local motion estimates (avoiding aperture problems) and for discarding the outliers. In fact, the competitive learning approach shows several benefits: (i) a gradual propagation of shape information across the model;(ii) the use of shape and noise models competing for explaining the data;and (iii) the possibility of adopting high dimensional feature spaces containing relevant information extracted from the image. This workextends the unified framework proposed by the authors in [1]. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Learning algorithms

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共162页 << < 134 135 136 137 138 139 140 141 142 143 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

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：