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

1,290 篇 会议
637 篇 期刊文献
10 册 图书

馆藏范围

1,937 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,050 篇 工学
- 529 篇 计算机科学与技术...
- 444 篇 软件工程
- 422 篇 控制科学与工程
- 211 篇 电气工程
- 169 篇 机械工程
- 160 篇 信息与通信工程
- 100 篇 电子科学与技术（可...
- 89 篇 生物工程
- 78 篇 生物医学工程（可授...
- 76 篇 仪器科学与技术
- 74 篇 光学工程
- 67 篇 动力工程及工程热...
- 50 篇 力学（可授工学、理...
- 43 篇 交通运输工程
- 39 篇 材料科学与工程（可...
- 35 篇 安全科学与工程
- 34 篇 化学工程与技术
- 31 篇 航空宇航科学与技...
557 篇 理学
- 294 篇 数学
- 163 篇 物理学
- 103 篇 系统科学
- 98 篇 生物学
- 78 篇 统计学（可授理学、...
- 35 篇 化学
199 篇 管理学
- 158 篇 管理科学与工程(可...
- 54 篇 工商管理
- 45 篇 图书情报与档案管...
64 篇 医学
- 57 篇 临床医学
- 39 篇 基础医学(可授医学...
- 28 篇 药学(可授医学、理...
23 篇 法学
19 篇 农学
17 篇 经济学
4 篇 教育学
2 篇 艺术学
1 篇 文学
1 篇 军事学

主题

139 篇 intelligent robo...
99 篇 control systems
99 篇 intelligent syst...
85 篇 laboratories
82 篇 robot sensing sy...
79 篇 mobile robots
68 篇 neural networks
48 篇 robots
46 篇 robot kinematics
44 篇 robustness
40 篇 power systems
40 篇 navigation
39 篇 feature extracti...
37 篇 artificial intel...
37 篇 adaptive control
35 篇 testing
34 篇 humans
33 篇 training
32 篇 cameras
32 篇 computational mo...

机构

51 篇 institutes for r...
37 篇 key laboratory o...
25 篇 shenyang institu...
24 篇 state key labora...
24 篇 zhejiang enginee...
24 篇 school of automa...
23 篇 school of electr...
22 篇 beijing key labo...
22 篇 university of ch...
21 篇 real-time power ...
20 篇 intelligent wave...
19 篇 hubei key labora...
19 篇 intelligent syst...
19 篇 department of el...
18 篇 ieee
18 篇 school of electr...
17 篇 photonic systems...
16 篇 school of electr...
15 篇 seventh research...
14 篇 research center ...

作者

60 篇 ganesh k. venaya...
31 篇 venayagamoorthy ...
27 篇 g.k. venayagamoo...
23 篇 yu sunkyu
23 篇 junping du
23 篇 fashan yu
23 篇 yingmin jia
22 篇 stjepan bogdan
20 篇 park namkyoo
18 篇 g.g. yen
18 篇 yang guanghua
17 篇 witold pedrycz
17 篇 m. jamshidi
17 篇 ma shaodan
16 篇 pedrycz witold
16 篇 min wu
16 篇 luefeng chen
15 篇 tao zhang
14 篇 ganesh kumar ven...
14 篇 bogdan stjepan

语言

1,810 篇 英文
101 篇 其他
26 篇 中文

检索条件"机构=Robotics and Intelligent Systems Laboratory Electrical and Computer Engineering"

共 1937 条记录，以下是1591-1600 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：

NeuroFAST: high accuracy neuro-fuzzy modeling

NeuroFAST: high accuracy neuro-fuzzy modeling

引用

IEEE International Conference on Artificial Intelligence systems (ICAIS)

作者： S.G. Tzafestas K.C. Zikidis Intelligent Robotics and Automation Laboratory Electrical and Computer Engineering Department National and Technical University of Athens Athens Greece

Most fuzzy modeling algorithms rely either on simplistic (grid type) or off-line (trial-and-error type) structure identification methods. The proposed neurofuzzy modeling architecture, NeuroFAST, is an on-line, structure and parameter learning algorithm, featuring high function approximation accuracy. It is based on the first order Takagi-Sugeno-Kang (TSK) model (functional reasoning), where the consequence part of each fuzzy rule is a linear equation of the input variables. Fuzzy rules are allocated as learning evolves by a modified Fuzzy ART (Adaptive Resonance Theory) mechanism, assisted by fuzzy rule splitting and adding procedures (structure learning). The well known /spl delta/-rule continuously tunes learning weights on both premise and consequence parts (parameter identification). Tested on the Box-Jenkins gas furnace process modeling and the Mackey-Glass chaotic time series prediction, NeuroFAST yields very good results in terms of approximation accuracy, outperforming all known approaches.

关键词： Function approximation Approximation algorithms Takagi-Sugeno-Kang model Fuzzy reasoning Equations Input variables Subspace constraints Resonance Parameter estimation Testing

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

2002 IEEE International Conference on systems, Man and Cybernetics

作者： Reza Mirfattah, S.M. Ahmadabadi, Majid Nili Robotics and AI Laboratory Department of Electrical Engineering University of Tehran P.O. Box: 14395/15 Tehran Iran School of Intelligent Systems Inst. Studs. on Theor. Phys./Math. 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 cooperate in learning. Some simulation results are reported to show the effectiveness of the proposed method.

关键词： Learning systems

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

2002 IEEE International Conference on systems, Man and Cybernetics

作者： Harati, Ahad Ahmadabadi, Majid Nili Robotics and AI Laboratory Department of Electrical Engineering University of Tehran P.O. Box: 14395/15 Tehran Iran School of Intelligent Systems Inst. Studs. on Theor. Phys./Math. 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： Learning systems

来源：评论

学校读者我要写书评

暂无评论

Affecting the accuracy of an active vision head 2nd

引用

2nd Hellenic Conference on Artificial Intelligence, SETN 2002

作者： Gasteratos, Antonios Sandini, Giulio Laboratory of Electronics Section of Electronics and Information Systems Technology Department of Electrical and Computer Engineering Democritus University of Thrace XanthiGR-671 00 Greece Laboratory for Integrated Advanced Robotics Department of Communication Computer and System Sciences University of Genoa Viale Causa 13 GenoaI-16145 Italy

ISBN: (纸本)3540434720

In any measuring system the categorization of the error generation factors leads to simplification of complex error problems and to higher suppression of the error. In this paper we categorize, quantify and analyze the errors that affect a binocular active vision head. Simulations have been made and experimental results on a high resolution pan-tilt-vergence mechanism are also proposed. As a conclusion it can be said that the system performs optimal when it is initialized so that the two cameras are perfectly aligned and perpendicular to the baseline. Small variations in the vergence angle or small horizontal deviations of the principal point alters the measurement dramatically. On the other hand, variations in pan and tilt and vertical deviations of the principal point, affect the measurement insignificantly. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Errors

来源：评论

学校读者我要写书评

暂无评论

Enabling iterative software architecture derivation using early non-functional property evaluation

Enabling iterative software architecture derivation using ea...

引用

IEEE International Conference on Automated Software engineering (ASE)

作者： K.S. Barber T. Graser J. Holt Laboratory for Intelligent Processes and Systems Electrical and Computer Engineering University of Technology Austin TX USA

The structure of a software architecture strongly influences the architecture's ability to prescribe systems satisfying functional requirements, non functional requirements, and overall qualities such as maintainability, reusability, and performance. Achieving an acceptable architecture requires an iterative derivation and evaluation process that allows refinement based on a series of tradeoffs. Researchers at the University of Texas at Austin are developing a suite of processes and supporting tools to guide architecture derivation from requirements acquisition through system design. The various types of decisions needed for concurrent derivation and evaluation demand a synthesis of evaluation techniques, because no single technique is suitable for all concerns of interest. Two tools in this suite, RARE and ARCADE, cooperate to enable iterative architecture derivation and architecture property evaluation. RARE guides derivation by employing a heuristics knowledge base, and evaluates the resulting architecture by applying static property evaluation based on structural metrics. ARCADE provides dynamic property evaluation leveraging simulation and model-checking. This paper presents a study whereby RARE and ARCADE were employed in the early stages of an industrial project to derive a Domain Reference Architecture (DRA), a high-level architecture capturing domain functionality, data, and timing. The discussion emphasizes early evaluation of performance qualities, and illustrates how ARCADE and RARE cooperate to enable iterative derivation and evaluation. These evaluations influenced DRA refinement as well as subsequent design decisions involving application implementation and computing platform selection.

关键词： Software architecture computer architecture Yarn Application software Connectors Laboratories intelligent systems intelligent structures Maintenance engineering Timing

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 critic fault tolerant control using dual heuristic programming

Adaptive critic fault tolerant control using dual heuristic ...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： G.G. Yen P.G. Lima Intelligent Systems and Control Laboratory School of Electrical and Computer Engineering Oklahoma State University Stillwater OK USA

In this paper a hierarchical architecture that combines a high degree of reconfigurability and long-term memory is proposed as a fault tolerant control algorithm for complex nonlinear systems. Dual heuristic programming (DHP) is used for adapting to faults as they occur for the first time in an effort to prevent the build up of a general failure and also as tuning device after switching to a known scenario. A dynamical database, initialized with as much information of the plant as available, oversees the DHP controller. The decisions of which environments to record, when to intervene and where to switch are autonomously taken based on specifically designed quality indexes. The results of the application of the complete algorithm to a proof-of-the-concept numerical example help to illustrate the fine interrelations between each of its subsystems.

关键词： Programmable control Adaptive control Fault tolerance Control systems Nonlinear control systems Nonlinear systems Stability Databases Switches Algorithm design and analysis

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194页 << < 156 157 158 159 160 161 162 163 164 165 > >>

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：