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

863 篇 期刊文献
553 篇 会议
1 篇 学位论文

馆藏范围

1,417 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,293 篇 工学
- 569 篇 计算机科学与技术...
- 381 篇 电气工程
- 256 篇 控制科学与工程
- 159 篇 机械工程
- 134 篇 石油与天然气工程
- 129 篇 信息与通信工程
- 115 篇 软件工程
- 99 篇 材料科学与工程（可...
- 97 篇 动力工程及工程热...
- 76 篇 仪器科学与技术
- 56 篇 电子科学与技术（可...
- 47 篇 环境科学与工程（可...
- 46 篇 力学（可授工学、理...
- 41 篇 土木工程
- 29 篇 化学工程与技术
- 29 篇 交通运输工程
- 19 篇 建筑学
- 18 篇 水利工程
- 18 篇 船舶与海洋工程
- 18 篇 网络空间安全
253 篇 理学
- 90 篇 物理学
- 62 篇 数学
- 51 篇 化学
- 30 篇 生物学
- 29 篇 地球物理学
- 14 篇 系统科学
225 篇 管理学
- 222 篇 管理科学与工程(可...
25 篇 医学
- 15 篇 临床医学
14 篇 经济学
- 12 篇 应用经济学
9 篇 农学
5 篇 法学
4 篇 教育学
1 篇 艺术学

主题

1,417 篇 particle swarm o...
101 篇 genetic algorith...
45 篇 optimization
33 篇 support vector m...
27 篇 multi-objective ...
27 篇 particle swarm o...
26 篇 bp neural networ...
23 篇 fault diagnosis
23 篇 artificial neura...
21 篇 simulated anneal...
20 篇 neural network
17 篇 cloud computing
16 篇 support vector r...
16 篇 task scheduling
14 篇 particle swarm o...
12 篇 convergence
12 篇 differential evo...
12 篇 inertia weight
11 篇 parameter optimi...
11 篇 cuckoo search al...

机构

9 篇 xidian univ sch ...
7 篇 univ chinese aca...
7 篇 china univ geosc...
7 篇 beijing union un...
6 篇 univ sci & techn...
6 篇 natl taiwan univ...
5 篇 shanghai dianji ...
5 篇 chinese acad sci...
5 篇 china univ geosc...
4 篇 northeastern uni...
4 篇 northeastern uni...
4 篇 hubei key lab ad...
4 篇 shanghai jiao to...
4 篇 natl taipei univ...
3 篇 hunan univ sch c...
3 篇 lanzhou univ sch...
3 篇 north china elec...
3 篇 dalhousie univ d...
3 篇 wuhan inst techn...
3 篇 college of mecha...

作者

12 篇 kuo r. j.
9 篇 tian wenjie
8 篇 wu min
8 篇 chen dongdong
8 篇 li di
8 篇 bu yan-ping
8 篇 yang yintang
7 篇 liu jicheng
7 篇 zhou wei
6 篇 fei chunlong
6 篇 wang wei
5 篇 wang ping
5 篇 wang jie-sheng
5 篇 wang jun
4 篇 demidova liliya
4 篇 li liang
4 篇 wang hui
4 篇 feng wei
4 篇 wu lifeng
4 篇 liu tao

语言

1,305 篇 英文
73 篇 其他
33 篇 中文
3 篇 德文
2 篇 法文
2 篇 朝鲜文

检索条件"主题词=particle swarm optimization algorithm"

共 1417 条记录，以下是201-210 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：

Fault Localization of Distribution Network Based on Reverse-Local Learning based particle swarm optimization algorithm 3

Fault Localization of Distribution Network Based on Reverse-...

引用

3rd International Conference on Energy and Electrical Power Systems (ICEEPS)

作者： Zhang, Wei Zhou, Yangjun Yi, Chenying Li, Shan Feng, Bin Huang, Weixiang Pan, Juntao Zhou, Yuanchao Wu, Lifang Guangxi Power Grid Co Ltd Elect Power Res Inst Guangxi Key Lab Intelligent Control & Maintenance Nanning Peoples R China Guangxi Power Grid Co Ltd Nanning Peoples R China Guangxi Power Grid Co Ltd Nanning Power Supply Bur Nanning Peoples R China

ISBN: (纸本)9798350375145;9798350375138

With the large-scale access of distributed generation, the power flow characteristics of distribution network have been greatly changed. The conventional fault localization methods for distribution networks are no longer applicable. To deal with the problems induced by large-scale access of distributed generation, a novel fault localization method based on improved particle swarm optimization algorithm is proposed in this paper. Aiming at the issues of potential misjudge, an objective function/ fitness value correction method is proposed to adapt to bidirectional power flow induced by distributed generation. Aiming at the issues of sluggish convergence and poor robustness in existing models, this paper introduces the Reverse-Local Learning based particle swarm optimization algorithm to improve the optimization efficiency and algorithm stability. Case study is performed on the IEEE-33 bus distribution network to demonstrate the accuracy and efficiency of the proposed fault localization method.

关键词： fault localization distributed generation bidirectional power flow particle swarm optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

An Improved particle swarm optimization algorithm

引用

International Conference on Mechanical Engineering and Intelligent Systems (ICMEIS 2012)

作者： Jiang, Changyuan Zhao, Shuguang Guo, Lizheng Ji, Chuan Donghua Univ Coll Informat Sci & Technol Shanghai 201600 Peoples R China

ISBN: (纸本)9783037854693

Based on the analyzing inertia weight of the standard particle swarm optimization (PSO) algorithm, an improved PSO algorithm is presented. Convergence condition of PSO is obtained through solving and analyzing the differential equation. By the experiments of four Benchmark function, the results show the performance of S-PSO improved more clearly than the standard PSO and random inertia weight PSO. Theoretical analysis and simulation experiments show that the S-PSO is efficient and feasible.

关键词： particle swarm optimization algorithm inertia weight sinusoidal changing differential equation

来源：评论

学校读者我要写书评

暂无评论

Research on Electronic Materials with Design of a down-conversion mixer Based on particle swarm optimization algorithm

Research on Electronic Materials with Design of a down-conve...

引用

2nd International Conference on Function Materials and Nanotechnology (FMN 2013)

作者： Shan, Huilin Zhang, Yinsheng Nanjing Univ Informat Sci & Technol Nanjing 210044 Jiangsu Peoples R China

ISBN: (纸本)9783037858059

This paper presents principles of a down-converted mixer for four sub-harmonic and proposes a particle swarm optimization algorithm as a global search algorithm, and the performance equation is used as the assessment of the mixer circuit optimization method. Dielectric substrate adopts Electronic Materials with RF/Duroid 5880 whose dielectric constant is 2.20 and 5mil in thickness. The optimization algorithm can quickly get optimal results. The simulation results show that this mixer achieves higher 1 dB compression point, loss of frequency conversion which is less than 15 dB and good linearity.

关键词： particle swarm optimization algorithm Sub-harmonic mixer down-converted mixer

来源：评论

学校读者我要写书评

暂无评论

A Modified particle swarm optimization algorithm for Dynamic Multiresponse optimization Based on Goal Programming Approach 21

A Modified Particle Swarm Optimization Algorithm for Dynamic...

引用

21st International Conference on Management Science & Engineering (ICMSE)

作者： Zhang Liu-yang Ma Yi-zhong Zhu Lian-yan Wang Jian-jun Nanjing Univ Sci & Technol Sch Econ & Management Nanjing 210094 Jiangsu Peoples R China

ISBN: (纸本)9781479953769

While many of the previous applications based on the Taguchi method only focus on single-response optimization in static system, dynamic multiresponse optimization has received only limited attentions. optimization of dynamic multiresponse aims at finding out a setting combination of input controllable factors that will result in optimal solutions for all response variables at each signal level. However, it is often difficult to find an optimal setting when multiple responses are simultaneously considered because of their contradiction among the requirements. Hence, a new robust design optimization procedure based on response surface methodology is proposed in the article. The polynomial models of system sensitivity and the error variance for each response are firstly fitted, and corresponding individual desirability functions based on their respective characteristic are defined. Then, goal programming approach is used to resolve multiresponse optimization problems. Because the problems are often multiobjective optimization problems and are often with multipeak distribution, multiconstraint and high nonlinearity, traditional gradient algorithms are easy to obtain local optimal solutions. So a modified particle swarm optimization algorithm is proposed to search global optimal solution. The example shows that the proposed approach can obtain more effectively solutions for dynamic multiresponse optimization problems.

关键词： dynamic multiresponse multiobjective optimization goal programming response surface methodology particle swarm optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

An application of particle swarm optimization algorithm to permutation flowshop scheduling problems to minimize makespan, total flowtime and completion time variance

An application of Particle Swarm Optimization Algorithm to p...

引用

IEEE International Conference on Automation Science and Engineering

作者： Chandrasekaran, S. Ponnambalam, S. G. Suresh, R. K. Vijayakumar, N. Monash Univ Sch Engn Malaysia Campus Jaya 46150 Selangor Malaysia SRK Vidhyala Acetech Comp Educ Coimbatore 641020 Tamil Nadu India Sri Ramakrishna Mission Vidyalaya Polytech Coll Dept Engn Mech Coimbatore Tamil Nadu India Amrita Sch Engn Dept Mech Engn Coimbatore Tamil Nadu India

ISBN: (纸本)9781424403103

The problem of scheduling in flowshops with the objective of minimizing makespan, total flowtime and completion time variation is studied in this paper. A simple discrete version of particle swarm optimization algorithm (PSO) is proposed for solving the set of benchmark flowshop scheduling problems proposed by Taillard [1]. The obtained results are better when compared with the results published in the literature.

关键词： flowshop scheduling particle swarm optimization algorithm makespan total flowtime and completion time variance

来源：评论

学校读者我要写书评

暂无评论

Fault Diagnosis Analysis with Support Vector Regression and particle swarm optimization algorithm

Fault Diagnosis Analysis with Support Vector Regression and ...

引用

22nd Chinese Control and Decision Conference

作者： Tian, WenJie Liu, JiCheng Beijing Union Univ Beijing Automat Inst Beijing 100101 Peoples R China

ISBN: (纸本)9781424451821

The fault diagnosis model with support vector regression (SVR) and particle swarm optimization algorithm (POSA) for is proposed. The novel structure model has higher accuracy and faster convergence speed. We construct the network structure, and give the algorithm flow. The impact factor of fault behaviors is discussed. With the ability of strong self-learning and faster convergence, this fault detection method can detect various fault behaviors rapidly and effectively. by learning the typical fault characteristic information. Utilizing the character that principal components analysis algorithm can keep the discern ability of original dataset after reduction, the reduces of the original dataset are calculated and used to train individual SVR for ensemble, and consequently, increase the detection accuracy. To validate the effectiveness of the proposed method, simulation experiments are performed based on the electronic circuit dataset. The results show that the proposed method is a promised method owning to its high diversity, high detection accuracy and faster speed in fault diagnosis.

关键词： Support Vector Regression Principal Components Analysis Fault Diagnosis Reduction particle swarm optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

optimization of PID Controller for Underwater Autonomous Vehicle Based on particle swarm optimization algorithm 3

Optimization of PID Controller for Underwater Autonomous Veh...

引用

3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023

作者： Li, Hongna Fan, Yiqun Tianjin University of Technology Maritime College Tianjin University of Technology Tianjin China

ISBN: (纸本)9798350382426

In order to ensure that the underwater autonomous vehicle can maintain the stability of control performance when performing unknown tasks, this paper combines the particle swarm optimization algorithm with PID controller, and compares the particle swarm optimization PID simulation with fuzzy PID simulation and traditional PID simulation, and concludes that the use of particle swarm optimization algorithm to optimize the PID parameters has a certain feasibility, which improves the stability and control performance of the system. © 2023 IEEE.

关键词： particle swarm optimization algorithm PID controller underwater autonomous vehicle

来源：评论

学校读者我要写书评

暂无评论

Using particle swarm optimization algorithm in Multimedia CDN Content Placement

Using Particle Swarm Optimization Algorithm in Multimedia CD...

引用

5th International Symposium on Parallel Architectures, algorithms and Programming (PAAP)

作者： Chen, Jian-Bo Chen, Chu-Chuan Ming Chuan Univ Dept Informat & Telecommun Engn Tao Yuan Taiwan

ISBN: (纸本)9780769548982;9781467345668

Multimedia Content Delivery Networks (CDN) is used to improve the performance and reliability on Internet. In CDN architecture, the multimedia contents are replicated from the origin server to replica servers in order to improve the performance and minimize the use of network bandwidth. Efficient placing the multimedia contents in CDN is a challenging problem. There are five factors that can be used to determine the placement of multimedia contents, they are bandwidth availability, connection availability, storage availability, CPU availability, and memory availability. In this paper, a particle swarm optimization (PSO) algorithm is adopted to solve this issue. PSO algorithm uses these five different input parameters as different dimensions. In this five dimension searching space, PSO algorithm can find out the global optimal solution. With this global optimal solution, it is the most appropriate replica server that must place the multimedia content. The simulation results show that the PSO algorithm can achieve a better performance than other algorithms.

关键词： component CDN Content Placement particle swarm optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

Adaptive particle swarm optimization algorithm Based on Levy Flights Mechanism

Adaptive Particle Swarm Optimization Algorithm Based on Levy...

引用

Chinese Automation Congress (CAC)

作者： Du, Zhongzhou Li, Si Sun, Yi Li, Nana Zhengzhou Univ Light Ind Sch Comp & Commun Engn Zhengzhou Henan Peoples R China

ISBN: (纸本)9781538635247

This article aims to the problems that the particle swarm optimization (PSO) algorithm has slow convergence and easy to fall into local optimum, provides an improved adaptive particle swarm optimization algorithm based on Levy flight mechanism (LFAPSO). The long jumps of Levy flight will step out of the local optimum in the local search. The convergence speed and accuracy of the LFAPSO algorithm are certified on 6 typical test functions. The simulation results show that the LFAPSO algorithm is obviously more successful than chaotic particle swarm optimization algorithm with adaptive mutation (ACPSO) and adaptive particle swarm optimization (APSO) algorithm in convergence performance and robustness. Furthermore, the results demonstrate the LFAPSO algorithm works better to solve the multidimensional function. The method will be used to different optimization problems such as scheduling problems, training neural networks, image segmentation, etc.

关键词： adaptive particle swarm optimization algorithm levy flight

来源：评论

学校读者我要写书评

暂无评论

Application of particle swarm optimization algorithm to image texture classification

Application of particle swarm optimization algorithm to imag...

引用

Conference on Medical Imaging, Parallel Processing of Images, and optimization Techniques

作者： Ye, Zhiwei Zheng, Zhaobao Zhang, Jinping Yu, Xin Hubei Univ Technol Sch Comp Sci Wuhan 430068 Peoples R China Wuhan Univ Sch Remote Sensing & Informat Engn Wuhan 430079 Peoples R China

ISBN: (纸本)9780819469533

This paper describes a kind of robust texture feature invariant to rotation and scale changes, which is the texture energy associated with a mask generated by particle swarm optimization algorithms. The detail procedure and algorithm to generate the mask is discussed in the paper. Furthermore, feature extraction experiments on aerial images are done. Experimental results indicate that the robust feature is effective and PSO-based algorithm is a viable approach for the "tuned" mask training problem.

关键词： particle swarm optimization algorithm feature extraction tuned mask

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142页 << < 17 18 19 20 21 22 23 24 25 26 > >>

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：