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

493 篇 期刊文献
408 篇 会议

馆藏范围

901 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

828 篇 工学
- 321 篇 计算机科学与技术...
- 303 篇 电气工程
- 187 篇 控制科学与工程
- 107 篇 机械工程
- 100 篇 石油与天然气工程
- 86 篇 信息与通信工程
- 69 篇 软件工程
- 59 篇 动力工程及工程热...
- 49 篇 材料科学与工程（可...
- 42 篇 电子科学与技术（可...
- 33 篇 力学（可授工学、理...
- 30 篇 土木工程
- 29 篇 仪器科学与技术
- 26 篇 交通运输工程
- 21 篇 环境科学与工程（可...
- 14 篇 水利工程
- 12 篇 化学工程与技术
- 9 篇 光学工程
- 9 篇 建筑学
- 9 篇 地质资源与地质工...
137 篇 理学
- 46 篇 物理学
- 38 篇 数学
- 24 篇 化学
- 14 篇 生物学
- 13 篇 地球物理学
- 9 篇 系统科学
132 篇 管理学
- 130 篇 管理科学与工程(可...
9 篇 经济学
- 7 篇 应用经济学
9 篇 医学
6 篇 农学
4 篇 教育学
1 篇 法学

主题

901 篇 pso algorithm
51 篇 optimization
32 篇 particle swarm o...
21 篇 bp neural networ...
17 篇 rbf neural netwo...
15 篇 parameter identi...
14 篇 pid controller
14 篇 genetic algorith...
11 篇 neural network
10 篇 multi-objective ...
10 篇 particle swarm o...
9 篇 ga algorithm
9 篇 pid
8 篇 parameter optimi...
8 篇 de algorithm
8 篇 svm
8 篇 particle swarm o...
7 篇 cloud computing
7 篇 chaos
6 篇 fault diagnosis

机构

5 篇 univ sistan & ba...
4 篇 college of infor...
4 篇 northeastern uni...
4 篇 univ oslo dept m...
4 篇 univ sharjah dep...
4 篇 king abdulaziz u...
3 篇 beijing univ tec...
3 篇 shanghai inst te...
3 篇 henan inst techn...
3 篇 liaocheng univ s...
3 篇 dalian univ tech...
3 篇 cder ctr dev ene...
3 篇 nanjing univ sci...
3 篇 jilin univ state...
3 篇 china univ geosc...
3 篇 nanjing univ sci...
3 篇 univ medea fac t...
3 篇 hefei univ techn...
3 篇 univ tabriz fac ...
3 篇 wuhan univ techn...

作者

6 篇 sheikhan mansour
6 篇 li ming
5 篇 dziedzic klaudia
5 篇 payan s.
5 篇 dali ali
4 篇 wang lei
4 篇 abdelmalek samir
4 篇 wu min
4 篇 shahnazi reza
4 篇 pang hali
4 篇 lai xuzhi
4 篇 bakdi azzeddine
4 篇 ding yongsheng
4 篇 li wei
4 篇 sakly anis
4 篇 bettayeb maamar
4 篇 liu hanwu
4 篇 li feng
4 篇 hu chao
3 篇 li yang

语言

841 篇 英文
38 篇 其他
18 篇 中文
1 篇 荷兰文

检索条件"主题词=PSO algorithm"

共 901 条记录，以下是301-310 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：

Liver Cancer Identification Based on pso-SVM Model

Liver Cancer Identification Based on PSO-SVM Model

引用

11th International Conference on Control, Automation, Robotics and Vision (ICARCV 2010)

作者： Jiang, Huiyan Tang, Fengzhen Zhang, Xiyue Northeastern Univ Software Coll Shenyang Peoples R China

ISBN: (纸本)9781424478132

This paper proposes a novel liver cancer identification method based on pso-SVM. First, the region of interest (ROI) is determined by Lazy-Snapping, and various texture features are extracted from ROI. Afterwards, F-score algorithm is applied to select relevant features, based on which liver cancer classifier is designed by combining parallel Support Vector Machine (SVM) with Particle Swarm Optimization (pso) algorithm. pso is used to automatically choose parameters for SVM, and the advantage is that it makes the choice of parameter more objective and avoids the randomicity and subjectivity in the traditional SVM whose parameters are decided through trial and error. The experiment results on real-world datasets show that the proposed parallel pso-SVM training algorithm improves the prediction accuracy of liver cancer.

关键词： feature extraction feature selection pso algorithm parallel SVM

来源：评论

学校读者我要写书评

暂无评论

An Improved pso for Design Optimizations of a Multiband Rectenna for Miniature Energy Harvester 19

An Improved PSO for Design Optimizations of a Multiband Rect...

引用

19th Biennial IEEE Conference on Electromagnetic Field Computation (CEFC)

作者： Fu, Yuhe Yang, Shiyou Zhejiang Univ Coll Elect Engn Hangzhou 310027 Peoples R China

ISBN: (纸本)9781728131238

The environmental electromagnetic field consists of different frequency components with very low energy densities. In this regard, an ideal miniature energy harvester should be a multi-resonance frequency, wide-frequency band, generally called multiband, high-gain one in order to collect enough electromagnetic energy from environmental electromagnetic fields. In this point of view, a microstrip multiband rectenna is proposed for miniature energy harvesters. Since the tuning of the physical parameters of the proposed rectenna is not an easy task considering the requirements on a multiband and a high gain, an improved particle swarm optimization (pso) method is proposed. The numerical results have demonstrated that the optimized rectenna obtains high gains in multi-resonance frequency band.

关键词： Energy harvester pso algorithm rectenna

来源：评论

学校读者我要写书评

暂无评论

Multi-controller approach with pso- PI^λD^μ Controllers for a Robotic Wrist 5

Multi-controller approach with PSO- PI<SUP>λ</SUP>D<SUP>μ<...

引用

5th International Conference on Electrical Engineering - Boumerdes (ICEE-B)

作者： Zennir, Youcef Mechhoud, El-Arkam Seboui, Ahcene Bendib, Riad Univ 20 Aout 1955 Skikda Automat Lab Skikda Skikda 21000 Algeria

ISBN: (纸本)9781538606865

The paper present an architecture multi-controller based in conventional PID controller and robust Fractional PID controller (FOPID) using pso algorithm to optimize the parameters of PID and FOPID, and improved the robustness. This approach applied to control robotics wrist (Robot RX-90 Staubli). A brief overview of the process with a non-linear and linear mathematical modeling of the process. Principle of multi-controllers approach of control is briefly presented. The recursive approximation method (ORA) of Oustaloup used to approximate the fractional order (FOPID) is presented. The structure of controllers used presented with different simulations realized. Finally a study comparative between (PID, pso-PID, FOPID and pso-FOPID) with obtained results has been presented and approved the efficiently of the architecture control with pso-FOPID controller followed by a conclusion and some perspectives for future work.

关键词： Robotics wrist Modeling pso algorithm Apporximaion fractional order method PID pso-PID FOPID pso-FOPID

来源：评论

学校读者我要写书评

暂无评论

The Calculation of Photovoltaic System Generation Access Capacity in Distribution Network Based on Probabilistic Power Flow and the pso Optimization

引用

2nd International Conference on Optical, Electronic Materials and Applications (OEMA 2012)

作者： Ma, Luyao Yao, Shujun Wang, Yan Yang, Jing Liu, Longhui N China Elect Power Univ Beijing Peoples R China

ISBN: (纸本)9783037854303

With the distributed generation such as photovoltaic power system (PVS) is largely introduced into power grid, some significant problems such as system instability problem increase seriously. In order to make full use of PVS and make sure the voltage exceeding probability is limited within a certain range to ensure the power quality, as well as consider the cost of access device, the suitable PVS access node and capacity is important. Based on this problem, this paper establishes the probabilistic power flow model of PVS by introducing the combined Cumulants and the Gram-Charlier expansion method. Also, to solve the nonlinear combinatorial optimization problem, this paper uses pso algorithm. Finally to get the suitable PVS access node and capacity, also calculate the solution of voltage exceeding probability.

关键词： Photovoltaic Power Generation Probabilistic Power Flow pso algorithm Power System Voltage Exceeding

来源：评论

学校读者我要写书评

暂无评论

Product Module Identification Based on pso

Product Module Identification Based on PSO

引用

International Symposium on Information Science and Engineering

作者： Shan, Quan Chen, Yan Yan, Guangrong Northeast Univ Qinhuangdao Automat Engn Dept Qinhuangdao 066004 Peoples R China Beihang Univ Sch Mech Engn Automat Beijing 1000083 Peoples R China

ISBN: (纸本)9780769534947

A numerical optimization method for module identification based on particle swarm optimization (pso) algorithm is proposed. A series of property correlations facing the product lifecycle are divided into functional, geometrical, physical and auxiliary ones, and the synthesis design structure matrix (DSM) is obtained. The optimization function for module identification is then established based on the principle of axiomatic design (i.e., close cohesion and loose coupling). Finally, the numerical optimization method for product module identification is implemented using pso. Solutions is provided for some key issues such as constructing the integrated relationship matrix, building the objective optimization function, creating the numerical optimization process and encoding schema. An example is presented to demonstrate the feasibility of the proposed approaches.

关键词： axiomatic theory module identification pso algorithm

来源：评论

学校读者我要写书评

暂无评论

Using Heuristic Rules to Enhance a Multiswarm pso for Dynamic Environments

Using Heuristic Rules to Enhance a Multiswarm PSO for Dynami...

引用

2010 IEEE World Congress on Computational Intelligence

作者： del Amo, Ignacio G. Pelta, David A. Gonzalez, Juan R. Univ Granada Models Decis & Optimizat MODO Res Grp Dept Comp Sci & Artificial Intelligence E-18071 Granada Spain

ISBN: (纸本)9781424481262

The Particle Swarm Optimization (pso) algorithm has been successfully applied to dynamic optimization problems with very competitive results. One of its best performing variants, the mQSO is based on an atomic model, with quantum and trajectory particles. This work introduces a new version of this algorithm which uses heuristic rules for improving its performance. Two new rules are presented: one specifically designed for the mQSO, which locally bursts diversity after a change in the environment, and a second, more general one, which globally increases diversity in a precise way, without disturbing the intensification of the search. The new version with rules is tested against the original one using several variations of the Moving Peaks Benchmark and the Ackley function. The results show a drastic improvement in the performance of the algorithm.

关键词： Ackley function pso algorithm dynamic environments dynamic optimization problems heuristic rules locally bursts diversity mQSO moving peaks benchmark multiswarm pso particle swarm optimisation particle swarm optimization algorithm quantum computing quantum particles trajectory particles

来源：评论

学校读者我要写书评

暂无评论

Combined pso Methods for UAVs Swarm Modelling and Simulation 6th

Combined PSO Methods for UAVs Swarm Modelling and Simulation

引用

6th International Conference on Modelling and Simulation for Autonomous Systems (MESAS)

作者： Skrzypecki, Stanislaw Tarapata, Zbigniew Pierzchala, Dariusz Mil Univ Technol Cybernet Fac Warsaw Poland

ISBN: (纸本)9783030438906;9783030438890

In this paper selected methods used for Unmanned Aerial Vehicles (UAVs) swarm simulation are presented. Proposed approach is based on Particle SwarmOptimization algorithm applied for a search problem in a large-scale terrain with enhancements like collision avoidance, leadership or formation arrangement mechanisms. The uniqueness of proposed work relies on appliance these mechanisms (separately or in combined way) to the pso algorithm, whereas they have not been designed in the presented manner. Moreover, the mechanisms are meant to keep the pso algorithm idea and its simplicity. The UAVs swarm simulation is performed in original distributed simulation environment (built completely from the scratch) with the alternative communication provided byDIS or HLA protocols. The environment consists of a constructive component (responsible for multiagent and multiresolution modelling) for UAVs behaviours simulation and the VBS3 virtual simulator handling 3D visualizations and another objects control.

关键词： UAVs swarm pso algorithm Autonomous systems Collision avoidance Leadership Formation arrangement Distributed simulation

来源：评论

学校读者我要写书评

暂无评论

A Novel Framework for FIR Digital Filter Design Based on P system with pso

A Novel Framework for FIR Digital Filter Design Based on P s...

引用

International Conference on Information Systems and Computer Aided Education (ICISCAE)

作者： Zhang, Chengfang Yue, Zhen Wang, Fengjuan Yan, Dan Sichuan Police Coll Luzhou Peoples R China Beijing Univ Posts & Telecommun Beijing Peoples R China Space Star Technol Co LTD Chengdu Co Chengdu Sichuan Peoples R China

ISBN: (纸本)9781538657386

Digital filter plays an important role in the digital signal processing, with a wide range of theoretical and practical application. The essential characteristic of the digital filter is that it can make the useful signal as much as possible all go through, while maximally suppress the useless signal. Due to the structure and function of digital filter, the classical filter design methods will suffer from some shortcomings: slow convergence and local minimums. To overcome the shortcomings in FIR filter design, a novel P systems-based method for optimal FIR filter design under the framework of P system is proposed by combining parallel property of P system, which is named as Tissue P Systems algorithm (TPS). In the proposed TPS model, instead of traditional design methods, a star tissue P system is designed as its computing framework, while the impulse response coefficients of the filter are regarded as the objects in the elementary membranes. Each object in cells expresses a group of filter coefficients to be optimized by using velocity-position model of pso, and inherent communication mechanism is used to share the objects among different elementary membranes, so as to determine the optimal filter parameters. Low-pass filter (LP), high-pass filter (HP), band-pass filter (BP) and band-stop filter (BS) are employed to verify the effectiveness of the proposed method. Five state-of-the-art design methods, which are Parks-McClellan (PM), real-coded GA (RGA), particle swarm optimization (pso), differential evolution (DE) and opposition-based harmony search (OHS) are used to exhibit the advantages of the proposed framework. The comparison results demonstrate the proposed TPS model that obtains better performance regarding magnitude response, with minimum stopband ripple, and maximum stopband attenuation. Moreover, the simulation results also show that the proposed FIR filter can close the requirements of ideal filter to the maximum extent.

关键词： FIR Filter P systems Membrane rules pso algorithm

来源：评论

学校读者我要写书评

暂无评论

Effectiveness Evaluation for UAV Air-to-Ground Attack Based on pso-BP Neural Network 36

Effectiveness Evaluation for UAV Air-to-Ground Attack Based ...

引用

第36届中国控制会议

作者： Xia Chen Naikuan Hu School of Automation Shenyang Aerospace University

ISBN: (纸本)9781538629185

In order to adapt to the increasingly rapid air combat rhythm and provide key basis for optimal operational decision,how to evaluate the operational effectiveness of unmanned aerial vehicle（UAV） quickly and accurately is a basic and important research topic for UAV combat *** the problem of effectiveness evaluation,this paper presents an effectiveness evaluation model for UAV air-to-ground attack which is based on pso-BP neural ***,the main influencing factors of effectiveness evaluation of air-to-ground attack are analyzed and ***,the basic principle of pso algorithm and BP neural network are introduced respectively and then pso-BP neural network is ***,simulation experiments are performed using historical statistics and the simulation results show that the proposed method can reduce the training error and improve the evaluation accuracy,which implies that the proposed algorithm is a better method to solve the problem of effectiveness evaluation of UAV air-to-ground attack.

关键词： Effectiveness evaluation UAV air-to-ground attack pso algorithm BP neural network pso-BP neural network

来源：评论

学校读者我要写书评

暂无评论

Research on Fault Diagnosis for Air Drilling Based on an Improved pso for Optimization of Fuzzy Neural Network 10th

Research on Fault Diagnosis for Air Drilling Based on an Imp...

引用

10th International Conference on Management Science and Engineering Management (ICMSEM)

作者： Zhang, Dan Zhu, Tingting Lv, Yiqing Hou, Jing He, Yue Sichuan Univ Business Sch Chengdu 610064 Sichuan Peoples R China

ISBN: (纸本)9789811018374;9789811018367

The air drilling technology, which is a new kind of drilling technology, has got a wide range of applications at home and abroad. Compared with conventional drilling technology, it has a large number of advantages, such as lower cost, faster drilling speed and less pollution. However, lots of questions like drilling tools out of operation frequently were exposed during the gas drilling which restricted the development of air drilling technology. Thus, it has great significance to hammer at studying the air drilling accident diagnostic techniques. The paper has a comprehensive introduction about air drilling principle and the cause of the accident in the process of air drilling. Meanwhile, the paper has proposed an improved particle swarm algorithm for optimization of fuzzy neural network based on new development in automation and intelligent technology and has carried out a positive analysis by using it. The new model in the convergence speed, adaptive value and diagnostic error, etc. is the optimal by comparing with BP neural network and pso neural network. It can improve the subjective shortcoming of traditional methods that the staff in the field operation analyses data through the real-time monitoring system and the air drilling experts identify some characteristics of air drilling accident causes to reduce errors, improve the accuracy of diagnostics and become more intelligent.

关键词： Air and gas drilling Fault diagnosis pso algorithm Fuzzy neural network

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91页 << < 27 28 29 30 31 32 33 34 35 36 > >>

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：