咨询与建议

限定检索结果

文献类型

  • 863 篇 期刊文献
  • 551 篇 会议
  • 1 篇 学位论文

馆藏范围

  • 1,415 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 1,291 篇 工学
    • 566 篇 计算机科学与技术...
    • 380 篇 电气工程
    • 254 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
    • 113 篇 软件工程
    • 98 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
    • 28 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
    • 17 篇 网络空间安全
  • 251 篇 理学
    • 90 篇 物理学
    • 59 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
  • 224 篇 管理学
    • 221 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

  • 1,415 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
  • 71 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"
1415 条 记 录,以下是1361-1370 订阅
排序:
RESEARCH ON INTRUSION DETECTION OF SVM BASED ON PSO
RESEARCH ON INTRUSION DETECTION OF SVM BASED ON PSO
收藏 引用
International Conference on Machine Learning and Cybernetics
作者: Zhou, Tie-Jun Li, Yang Li, Jia Hunan Univ Sch Comp & Commun Changsha 410082 Hunan Peoples R China Cent South Univ Forestry & Technol Coll Comp Sci Changsha 410004 Peoples R China
Intrusion detection plays more important role in network security today. This paper introduces a method, particle swarm optimization and support vector machine, to intrusion detection system, and presents a new design... 详细信息
来源: 评论
A Novel optimization Method for the Maximum Coverage Sets of WSN
A Novel Optimization Method for the Maximum Coverage Sets of...
收藏 引用
International Conference on Wireless Networks and Information Systems
作者: Tian, WenJie Liu, JiCheng Beijing Union Univ Automat Inst Beijing 100101 Peoples R China
To resolve the problem of traditional lifetime, target coverage and network connectivity, a novel algorithm for selecting the optimal coverage set based on improved particle swarm optimization algorithm (PSOA) is prop... 详细信息
来源: 评论
Weak Signal Detection Based On Stochastic Resonance Combining With PSO algorithm
Weak Signal Detection Based On Stochastic Resonance Combinin...
收藏 引用
4th IEEE Conference on Industrial Electronics and Applications
作者: Hou, Zhefei Yang, Jie Wang, Kecheng Wang, Yunpeng Wuhan Univ Technol Sch Informat Engn Wuhan 430063 Peoples R China Air Force Dalian Commun Sergeant Sch Dalian 116600 Peoples R China
In order to detect a weak signal under the condition of intensive noise, the signal and additive white noise were used as input of a bistable stochastic resonance (SR) system. The noise intensity and the system parame... 详细信息
来源: 评论
Dynamic Scheduling of Multi-task for Hybrid Flow-shop Based on Idle Time Windows
Dynamic Scheduling of Multi-task for Hybrid Flow-shop Based ...
收藏 引用
21st Chinese Control and Decision Conference
作者: Zeng Ling-li Zou Feng-xing Gao Zheng Xu Xiao-hong Natl Univ Def Technol Coll Mechatron & Automat Dept Automat Control Changsha 410073 Hunan Peoples R China
This paper presents an approach based on idle time windows (ITWs) and particle swarm optimization (PSO) algorithm to solve dynamic scheduling of multi-task for hybrid flow-shop. The idea of ITW is introduced, then the... 详细信息
来源: 评论
Modeling and Forecasting Method Based on Support Vector Regression
Modeling and Forecasting Method Based on Support Vector Regr...
收藏 引用
2nd International Conference on Future Information Technology and Management Engineering
作者: Tian, WenJie Wang, ManYi Beijing Union Univ Automat Inst Beijing Peoples R China Capital Univ Econ & Business Finance Inst Beijing Peoples R China
In the predicting financial distress, we know that irrelevant or correlated features in the samples could spoil the performance of the SVR classifier, leading to decrease of prediction accuracy. In order to solve the ... 详细信息
来源: 评论
Optimum Distribution of Aseismic Engineering Investment for Gas Pipeline Network System Based on Improved particle swarm algorithm
Optimum Distribution of Aseismic Engineering Investment for ...
收藏 引用
2nd International Conference on Intelligent Computation Technology and Automation
作者: Liu Wu Liu Yi Gu Xue-qin Wang Deng-hai Southwest Petr Univ Sch Petr Engn Chengdu Peoples R China Xian Changqing Technol Engn Co LTD Xian Peoples R China Southwest Petr Univ Sch Electron & Informat Engn Chengdu Peoples R China
Under the limit of engineering investment, the aseismic optimum design of pipeline system is used to minimize the sum of aseismic cost. Since optimal problem is an nonlinear hybrid model which involves dual "curs... 详细信息
来源: 评论
swarm intelligence optimization and its application in geophysical data inversion
收藏 引用
Applied Geophysics 2009年 第2期6卷 166-174页
作者: Yuan Sanyi Wang Shangxu Tian Nan CNPC Key Laboratory of Geophysical Exploration Key Laboratory of Earth Prospecting and Information Technology China University of Petroleum Beijing 102249 China
The inversions of complex geophysical data always solve multi-parameter, nonlinear, and multimodal optimization problems. Searching for the optimal inversion solutions is similar to the social behavior observed in swa... 详细信息
来源: 评论
Optimal Multiuser MIMO Linear Precoding with LMMSE Receiver
收藏 引用
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING 2009年 第unknown期2009卷 197682-197682页
作者: Fang Shu Wu Gang Li Shao-Qian Univ Elect Sci & Technol China Natl Key Lab Commun Chengdu 611731 Peoples R China
The adoption of multiple antennas both at the transmitter and the receiver will explore additional spatial resources to provide substantial gain in system throughput with the spatial division multiple access (SDMA) te... 详细信息
来源: 评论
A Distributed Approach to Solving Hybrid Flow-shop Scheduling Problem
A Distributed Approach to Solving Hybrid Flow-shop Schedulin...
收藏 引用
21st Chinese Control and Decision Conference
作者: Zou Feng-xing Zeng Ling-li Gao Zheng Liu Feng Natl Univ Def Technol Dept Automat Control Coll Mechatron & Automat Changsha 410073 Hunan Peoples R China
In this paper, a mathematical programming model is established for hybrid flow-shop scheduling problem,with the minimum of the makespan as the objective function. Based on the particle swarm optimization algorithm, a ... 详细信息
来源: 评论
RESEARCH ON INTRUSION DETECTION OF SVM BASED ON PSO
RESEARCH ON INTRUSION DETECTION OF SVM BASED ON PSO
收藏 引用
2009 International Conference on Machine Learning and Cybernetics(2009机器学习与控制论国际会议)
作者: TIE-JUN ZHOU JIA LI YANG LI School of Computer and Communication Hunan University Changsha 410082 China Computer Science College Central South University of Forestry and Technology Changsha 410004 Chi
Intrusion detection plays more important role in network security today. This paper introduces a method, particle swarm optimization and support vector machine, to intrusion detection system, and presents a new design... 详细信息
来源: 评论