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

991 篇 期刊文献
602 篇 会议
2 篇 学位论文

馆藏范围

1,595 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,332 篇 工学
- 812 篇 计算机科学与技术...
- 429 篇 电气工程
- 188 篇 控制科学与工程
- 150 篇 信息与通信工程
- 112 篇 机械工程
- 106 篇 软件工程
- 58 篇 石油与天然气工程
- 53 篇 仪器科学与技术
- 53 篇 土木工程
- 43 篇 电子科学与技术（可...
- 39 篇 材料科学与工程（可...
- 38 篇 动力工程及工程热...
- 32 篇 力学（可授工学、理...
- 25 篇 交通运输工程
- 25 篇 环境科学与工程（可...
- 17 篇 建筑学
- 15 篇 化学工程与技术
- 14 篇 航空宇航科学与技...
- 13 篇 生物医学工程（可授...
- 12 篇 水利工程
268 篇 管理学
- 266 篇 管理科学与工程(可...
- 15 篇 工商管理
231 篇 理学
- 81 篇 数学
- 53 篇 生物学
- 47 篇 物理学
- 32 篇 化学
- 18 篇 地球物理学
- 11 篇 系统科学
30 篇 经济学
- 21 篇 应用经济学
30 篇 医学
- 15 篇 临床医学
17 篇 农学
4 篇 法学
3 篇 艺术学
2 篇 教育学
1 篇 军事学

主题

1,595 篇 artificial bee c...
147 篇 optimization
116 篇 swarm intelligen...
85 篇 particle swarm o...
72 篇 genetic algorith...
46 篇 multi-objective ...
37 篇 heuristic algori...
30 篇 convergence
30 篇 search problems
25 篇 differential evo...
24 篇 metaheuristics
23 篇 scheduling
22 篇 path planning
22 篇 global optimizat...
19 篇 simulation
19 篇 wireless sensor ...
19 篇 heuristic
19 篇 costs
18 篇 feature extracti...
18 篇 sociology

机构

13 篇 univ hyderabad d...
11 篇 shenzhen univ co...
10 篇 univ chinese aca...
10 篇 northeastern uni...
9 篇 univ hyderabad s...
9 篇 liaocheng univ s...
9 篇 erciyes univ dep...
9 篇 hong kong polyte...
8 篇 shandong normal ...
8 篇 lanzhou jiaotong...
7 篇 natl inst techno...
7 篇 erciyes univ dep...
7 篇 yasar univ dept ...
6 篇 shanghai univ sc...
6 篇 beihang univ sch...
6 篇 south china univ...
6 篇 city univ hong k...
6 篇 lanzhou jiaotong...
5 篇 jadavpur univ de...
5 篇 univ engn & tech...

作者

29 篇 singh alok
23 篇 karaboga dervis
17 篇 sundar shyam
14 篇 ozturk celal
12 篇 karaboga nurhan
10 篇 li junjie
10 篇 pan quan-ke
10 篇 kang fei
9 篇 li genghui
8 篇 akay bahriye
8 篇 tasgetiren m. fa...
8 篇 gao hao
8 篇 liu san-yang
8 篇 cui laizhong
7 篇 yu weiyu
7 篇 szeto w. y.
7 篇 lee c. k. m.
7 篇 gao wei-feng
7 篇 wang ling
7 篇 lu nan

语言

1,502 篇 英文
70 篇 其他
13 篇 中文
9 篇 土耳其文
4 篇 法文
3 篇 德文

检索条件"主题词=artificial bee colony algorithm"

共 1595 条记录，以下是1571-1580 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：

Maximizing Opinion Acceptance in a Social Network

Maximizing Opinion Acceptance in a Social Network

引用

2017“互联网+、大数据与商业创新国际会议”

作者： Lei Zheng Yaodong Ni School of Information Technology and Management UIBE

The importance of opinion has been recognized by more and more scholars in recent *** the research on opinion has gradually *** paper will study how to maximize opinion acceptance in a social *** on non-Bayesian social learning theory, this paper constructs a decision model for the research *** the same time, this paper combines the classical artificial bee colony algorithm with the non-Bayesian social learning model to make it more suitable for solving the decision ***, a series of simulated numerical experiments are carried out to verify the effectiveness of the decision *** article provides some useful solutions for future research and application.

关键词： maximize opinion acceptance non-Bayesian social learning theory artificial bee colony algorithm numerical experiment decision model

来源：评论

学校读者我要写书评

暂无评论

Modified ABC-WOA algorithm under Partial Shading Condition for MPPT in PV System

Modified ABC-WOA Algorithm under Partial Shading Condition f...

引用

Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), International Conference on

作者： Mahesh Singh Asshutosh Upadhyay Shimpy Ralhan Shashank Singh Department of EEE SSGI SSTC (FET) Junwani Bhilai C.G. INDIA

The PV system is power production technologies developed by renewable energy resources which offers the benefits of power scaling, ease of installation, requires low maintenance and modularity. Solar photovoltaic (PV) systems are semiconductor technologies that change solar energy into direct current (DC) electricity via the exchange of electrons. A “Maximum Point Tracking” (MPPT) technique is derived to increase PV array's output power under all circumstances by monitoring the maximum power. The point of maximum power was tracked by various MPPT algorithms including the incremental conductance, perturb and observe (P&O), constant current, constant voltage, and parasitic capacitance methods etc. Despite being a straightforward technique, the perturb and monitor algorithm tracks incorrectly when the weather suddenly changes and oscillates around the point of maximum power (MPP), which can be avoided by utilizing the hybrid ABC-WOA algorithm. Therefore, to overcome this problem, an MPPT approach that is built on the hybrid ABC-WOA algorithm was performed associated to that of Perturbation and observation (P&O) as benchmarks. The ABC-WOA algorithm has ability to efficiently decrease the start-up time, minimizes the steady-state-run-yield oscillation of power following step change in an irradiance and enhances output efficiency. The recommended algorithm may easily handle partly shadowed PV arrays; lower power losses brought on by improperly recognizing the local position, and increase the effectiveness of PV power production.

关键词： Photovoltaic systems Renewable energy sources Perturbation methods Production Solar energy artificial bee colony algorithm Steady-state

来源：评论

学校读者我要写书评

暂无评论

Identification of mechanical parameters in servo-drive system

Identification of mechanical parameters in servo-drive syste...

引用

International (EPE-PEMC) Power Electronics and Motion Control Conference

作者： Rafal Szczepanski Tomasz Tarczewski Lukasz J. Niewiara Djordje Stojic Institute of Engineering and Technology Nicolaus Copernicus University Toruń Poland Nikola Tesla Institute of Electrical Engineering University of Belgrade Belgrade Serbia

In this paper, a novel application of artificial bee colony (ABC) algorithm to identification of mechanical parameters in servo-drive system is presented. The accurate identification of mechanical parameters of servo-drive system is essential for synthesis of the servo-drive's control system. Several mathematical models, including non-linear one, are applied to identify parameters of considered plant. In the proposed approach, the identification is based on angular velocity response and electromagnetic torque generated by the motor. The identified parameters obtained for several configurations of experimental set, i.e. for different moments of inertia and friction components, were compared with another approaches of identification.

关键词： Torque Friction Torque control Estimation artificial bee colony algorithm Power electronics Mathematical model

来源：评论

学校读者我要写书评

暂无评论

Optimizing speaker-specific filter banks for speaker verification

Optimizing speaker-specific filter banks for speaker verific...

引用

IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Hector N. B. Pinheiro Fernando M. P. Neto Adriano L. I. Oliveira Tsang Ing Ren George D. C. Cavalcanti Andre G. Adami Centro de Informatica (CIn) Universidade Federal de Pernambuco (UFPE) Recife Brazil Centro de Ciencias Exatas e da Tecnologia (CCET) Universidade de Caxias do Sul (UCS) Brazil

ISBN: (纸本)9781509041183

In this work, we investigate speaker-specific filter banks for text-independent speaker verification. The proposed method performs an heuristic search for the best filter-bank configuration using the artificial bee colony (ABC) algorithm and a proper fitness function for the standard i-vectors/PLDA-based speaker verification system. Furthermore, filter-bank decorrelated amplitudes are used instead of the cepstral coefficients produced by Discrete Cosine Transform (DCT). In the experiments, the proposed method is compared to standard Mel and linear scales in both cases where the decorrelation is performed using DCT and high-pass filtering. The comparison is performed on the MIT Mobile Device Speaker Verification Corpus in a gender-dependent trial scheme. The proposed method outperformed the baseline systems in almost all the test sets for both genders. Performance gains of 4.6% and 26.0% are achieved for male and female speakers, respectively.

关键词： Speaker verification filter bank optimization artificial bee colony algorithm speaker recognition Filter banks artificial bee colony algorithm discrete cosine transforms DCT gene heuristic search decorrelation

来源：评论

学校读者我要写书评

暂无评论

Improved Projection Pursuit Method on Risk Prioritization of Barrier Lake

Improved Projection Pursuit Method on Risk Prioritization of...

引用

2012 IEEE 3rd International Conference on Emergency Management and ManagementSciences(ICEMMS 2012)

作者： Haojin Li, Junjie Li, Fei Kang Faculty of Infrastructure Engineering Dalian University of Technology Dalian, China

The projection pursuit model projects high- dimensional data into low-dimensional space, and the data could be analyzed conveniently. Considering the affections of length of projection value vector, new projection index function is presented. Using the improved projection pursuit model the subjective affections in risk prioritization of barrier lake could be reduced. The projection values of dam danger and consequence are firstly calculated to describe relative degree of dam danger and consequence respectively. Then their product is used to curve the relative degree of risk, and finally the risk prioritization of barrier lakes could be obtained. Results show that the risk is mainly controlled by the consequence of barrier dam failure and Tangjiashan barrier lake is ranked at the top, consisting with the actual order of removal project.

关键词： earthquake barrier lake risk assessment improved projection pursuit model artificial bee colony algorithm

来源：评论

学校读者我要写书评

暂无评论

Tuning of PID Controller using BBBC algorithm for Higher Order Oscillatory Systems

Tuning of PID Controller using BBBC algorithm for Higher Ord...

引用

International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS)

作者： Satyam Anand Rishu Kumar Amar Nath Jha Netaji Subhas University of Technology (NSUT) Delhi India

ISBN: (数字)9781728169217

ISBN: (纸本)9781728169224

In this paper, Big Bang - Big Crunch (BB-BC) optimization technique is proposed for determining the parameters of PID controller for higher order systems. This algorithm is motivated by the theory of creation (Big Bang) and disintegration (Big Crunch) of Universe. The results achieved after application of BB-BC algorithm to higher order oscillatory system is compared with Ziegler Nichols method of tuning artificial bee colony (ABC) optimization algorithm and Genetic algorithm (GA).

关键词： Tuning Genetic algorithms Linear programming Statistics Sociology artificial bee colony algorithm Industries

来源：评论

学校读者我要写书评

暂无评论

OptABC: an Optimal Hyperparameter Tuning Approach for Machine Learning algorithms

OptABC: an Optimal Hyperparameter Tuning Approach for Machin...

引用

International Conference on Machine Learning and Applications (ICMLA)

作者： Leila Zahedi Farid Ghareh Mohammadi M. Hadi Amini Knight Foundation School of Computing and Information Sciences Florida International University Miami FL USA Sustainability Optimization and Learning for InterDependent networks (solid) laboratory FIU Miami FL USA University of Georgia Athens GA USA

ISBN: (纸本)9781665443388

Hyperparameter tuning in machine learning algorithms is a computationally challenging task due to the large-scale nature of the problem. In order to develop an efficient strategy for hyper-parameter tuning, one promising solution is to use swarm intelligence algorithms. artificial bee colony (ABC) optimization lends itself as a promising and efficient optimization algorithm for this purpose. However, in some cases, ABC can suffer from a slow convergence rate or execution time due to the poor initial population of solutions and expensive objective functions. To address these concerns, a novel algorithm, OptABC, is proposed to help ABC algorithm in faster convergence toward a near-optimum solution. OptABC integrates artificial bee colony algorithm, K-Means clustering, greedy algorithm, and opposition-based learning strategy for tuning the hyper-parameters of different machine learning models. OptABC employs these techniques in an attempt to diversify the initial population, and hence enhance the convergence ability without significantly decreasing the accuracy. In order to validate the performance of the proposed method, we compare the results with previous state-of-the-art approaches. Experimental results demonstrate the effectiveness of the OptABC compared to existing approaches in the literature.

关键词： Greedy algorithms Machine learning algorithms Sociology Clustering algorithms Machine learning artificial bee colony algorithm Statistics

来源：评论

学校读者我要写书评

暂无评论

Optimal Hybrid Renewable Generator for Techno-Economic Benefits in Smart Distribution Network

Optimal Hybrid Renewable Generator for Techno-Economic Benef...

引用

International Electrical Engineering Congress (iEECON)

作者： Elifuraha Reuben Mmary Boonruang Marungsri School of Electrical Engineering Suranaree University of Technology Nakhon Ratchasima Thailand

ISBN: (纸本)9781538623183;9781538623176

Increasing penetration of Hybrid Renewable Generator in recent year's present new challenges for planning and optimal operation of the Smart Distribution Network. For this purpose, performance indices introduced for determining the suitable position of HRGs together with shunt-capacitors. However, the hosting capacities of HRG determined by use of artificial bee colony (ABC) algorithm. The performance of the proposed methods validated on standards IEEE 34-nodes and IEEE 37-nodes radial distribution networks (RDN). The results have shown improvement of voltage level from O. 902p.u to 1. OOlp.u, reduction of power loss from 1.12MW to 0.64MW and diminished reactive power loss from 0.72MVAR to O.34MVAR by integrating of HRG to RDN. Results suggest that the proposed methods are reliable and can apply to the real radial distribution networks.

关键词： Power system stability Stability criteria Generators artificial bee colony algorithm Uncertainty Optimization

来源：评论

学校读者我要写书评

暂无评论

The Optimal Combination Forecasting Based on ARIMA,VAR and SSM

The Optimal Combination Forecasting Based on ARIMA,VAR and S...

引用

作者： Beibei Chen Mingyan Jiang School of Information Science and Engineering Shandong University

In order to overcome the defects of a single time series forecasting model and to improve the prediction accuracy, this paper proposes an improved optimal combination model with artificial bee colony algorithm used to solve the optimal weight coefficient automatically. Taking the Manufacturers' Shipments as an example to analyze, we use ARIMA、VAR and SSM to forecast the shipments respectively. Based on these three models, we construct the optimal combination forecasting model. By inspection, it is superior to the other three models in accuracy.

关键词： the optimal combination forecasting model artificial bee colony algorithm the Manufacturers' Shipments ARIMA VAR SSM

来源：评论

学校读者我要写书评

暂无评论

Hybrid Optimization algorithms for Economic and Emission Dispatch Optimization

Hybrid Optimization Algorithms for Economic and Emission Dis...

引用

International Colloquium on Signal Processing & Its Applications, CSPA

作者： Wei Wen Lee Mohd Ruzaini Hashim Chin Kim Gan Faculty of Electrical Technology and Engineering Universiti Teknikal Malaysia Melaka Melaka Malaysia

ISBN: (数字)9798350382310

ISBN: (纸本)9798350382327

The artificial bee colony (ABC) algorithm is an optimization technique that uses populations and randomness. However, the standard ABC algorithm has limitations, like early convergence and easily getting stuck in local minima in some cases. Hybridizing optimization algorithms is one of the techniques for improving the algorithm’s effectiveness, adaptability, and applicability to various fields of research and application. In this paper, an optimization algorithm named bee Eel Forage algorithm (BEFA) has been proposed. BEFA algorithm is developed based on hybridizing techniques where it uses the employed bee phase and scout bee phase from the ABC algorithm and uses the resting phase from the Electric Eel Foraging Optimization (EEFO) algorithm. The efficacy of the BEFA is validated by comparing it with the ABC algorithm and the EEFO algorithm by using four mathematical benchmark functions. Moreover, the applicability of the BEFA is tested with the application of the IEEE 26 bus system to optimize the environmental and economic load dispatch problem. The results show that the BEFA algorithm outperforms the two predecessor algorithms for solving four benchmark functions and successfully minimizes the costs and emissions for the IEEE 26 bus system.

关键词： Costs Power demand Sociology Benchmark testing artificial bee colony algorithm Linear programming Statistics

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160页 << < 151 152 153 154 155 156 157 158 159 160 > >>

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：