咨询与建议

限定检索结果

文献类型

  • 149 篇 期刊文献
  • 107 篇 会议
  • 1 篇 学位论文

馆藏范围

  • 257 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 228 篇 工学
    • 102 篇 电气工程
    • 98 篇 计算机科学与技术...
    • 57 篇 控制科学与工程
    • 21 篇 信息与通信工程
    • 18 篇 软件工程
    • 17 篇 仪器科学与技术
    • 15 篇 机械工程
    • 12 篇 石油与天然气工程
    • 11 篇 电子科学与技术(可...
    • 7 篇 环境科学与工程(可...
    • 6 篇 材料科学与工程(可...
    • 6 篇 土木工程
    • 5 篇 动力工程及工程热...
    • 5 篇 化学工程与技术
    • 5 篇 航空宇航科学与技...
    • 4 篇 力学(可授工学、理...
    • 4 篇 水利工程
    • 4 篇 测绘科学与技术
    • 4 篇 交通运输工程
    • 3 篇 光学工程
  • 58 篇 理学
    • 22 篇 物理学
    • 20 篇 数学
    • 7 篇 化学
    • 5 篇 生物学
    • 5 篇 统计学(可授理学、...
    • 4 篇 地球物理学
    • 4 篇 系统科学
  • 34 篇 管理学
    • 33 篇 管理科学与工程(可...
  • 10 篇 医学
    • 6 篇 临床医学
  • 3 篇 经济学
  • 3 篇 教育学
  • 2 篇 农学
  • 2 篇 艺术学
  • 1 篇 法学
  • 1 篇 文学

主题

  • 257 篇 gradient descent...
  • 14 篇 gradient methods
  • 10 篇 neural network
  • 7 篇 optimization
  • 7 篇 particle swarm o...
  • 7 篇 genetic algorith...
  • 6 篇 system identific...
  • 6 篇 convergence
  • 6 篇 learning (artifi...
  • 5 篇 neural networks
  • 5 篇 fuzzy systems
  • 5 篇 wireless sensor ...
  • 5 篇 lyapunov stabili...
  • 4 篇 deep learning
  • 4 篇 neural nets
  • 4 篇 image segmentati...
  • 4 篇 pid control
  • 4 篇 mathematical mod...
  • 4 篇 parameter estima...
  • 4 篇 adaptation model...

机构

  • 3 篇 beijing univ tec...
  • 3 篇 jiangnan univ sc...
  • 3 篇 beijing key lab ...
  • 3 篇 univ windsor dep...
  • 3 篇 shandong univ sc...
  • 2 篇 univ jijel laj j...
  • 2 篇 iit kanpur dept ...
  • 2 篇 institute of rob...
  • 2 篇 tsinghua univ ts...
  • 2 篇 univ fed rio de ...
  • 2 篇 knt univ technol...
  • 2 篇 univ texas arlin...
  • 2 篇 middle tennessee...
  • 2 篇 univ chinese aca...
  • 2 篇 ningbo univ fac ...
  • 2 篇 city univ hong k...
  • 2 篇 college of infor...
  • 2 篇 northeastern uni...
  • 2 篇 cnpc res inst sa...
  • 2 篇 wuhan univ sch m...

作者

  • 4 篇 kar narayan c.
  • 3 篇 boubertakh hamid
  • 3 篇 belen'kii mikhai...
  • 3 篇 tjong jimi
  • 3 篇 runyeon hope
  • 3 篇 zhou ding-xuan
  • 3 篇 cherrat nidhal
  • 3 篇 rye vincent
  • 3 篇 yang zhang
  • 3 篇 kumar jitendra
  • 3 篇 zheng xiaolong
  • 3 篇 feng guodong
  • 3 篇 chen jing
  • 3 篇 yang xuebo
  • 3 篇 xiao zhiyong
  • 3 篇 lai chunyan
  • 2 篇 radhakrishnan t....
  • 2 篇 yang jinlong
  • 2 篇 liu ziqi
  • 2 篇 cao yijia

语言

  • 243 篇 英文
  • 8 篇 其他
  • 6 篇 中文
检索条件"主题词=Gradient Descent Algorithm"
257 条 记 录,以下是211-220 订阅
排序:
Design and Implementation of nonlinear neural network controller based on simulator model in Damavand Tokamak
Design and Implementation of nonlinear neural network contro...
收藏 引用
24th Chinese Control and Decision Conference (CCDC)
作者: Tolouei, H. Kouhi, A. Rasouli, H. Rasouli, C. KN Toosi Univ Technol Control Dept Fac Elect Engn Adv Proc Automat & Control Lab APAC Tehran Iran Plasma Phys & Nuclear Fus Inst Inst Nucl Sci & Technol AEOI Tehran Iran
In this study, nonlinear neural network controller will be developed to control plasma radial motion in Damavand Tokamak. It is essential to have a good model in order to design a proper controller for plasma radial m... 详细信息
来源: 评论
Application of Multi-objective Artificial Immune Optimal algorithm in the Elevator Group Control System
Application of Multi-objective Artificial Immune Optimal Alg...
收藏 引用
3rd International Conference on Mechanical and Electronics Engineering (ICMEE 2011)
作者: Liu Yue-min Zhu Yan Henan Univ Sci & Technol Sch Elect Informat Engn Luoyang 471003 Peoples R China
With the development of the electronic technology, people have proposed higher requirements for the service quality on elevator, and the optimal elevator dispatching has developed a typical multi-objective optimal pro... 详细信息
来源: 评论
Fast algorithm of Evolutional Learning Neural Network
Fast Algorithm of Evolutional Learning Neural Network
收藏 引用
2012 International Conference on Intelligent System Design and Engineering Applications(2012年智能系统设计与工程应用国际会议 ISDEA 2012)
作者: Zhong-hua Xu Wei-bing Chen Wei-feng Yang Fengnian Liu School of Computer and ommunication Hunan University of Technology Zhuzhou Hunan 412008 China
The neural networks have been widely applied to optimum calculation and solution of complicated problems. In particular, the evolutional learning neural network has better characteristic and higher precision than othe... 详细信息
来源: 评论
Localization in Wireless Sensor Networks with gradient descent
Localization in Wireless Sensor Networks with Gradient Desce...
收藏 引用
IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)
作者: Qiao, Dapeng Pang, Grantham K. H. Univ Hong Kong Dept Elect & Elect Engn Hong Kong Hong Kong Peoples R China
In this article, we present two distance-based sensor network localization algorithms. The location of the sensors is unknown initially and we can estimate the relative locations of sensors by using knowledge of inter... 详细信息
来源: 评论
GMM-Guided gradient descent Learning of RBF Neural Network with Its Application on Robust GPS Satellites Selection
GMM-Guided Gradient Descent Learning of RBF Neural Network w...
收藏 引用
1st International eConference on Computer and Knowledge Engineering (ICCKE)
作者: Saraf, M. Mohammadi, K. Mosavi, M. R. Iran Univ Sci & Technol Dept Elect Engn Tehran *** Iran
In this paper, a novel gradient descent learning algorithm based on Gaussian Mixture Model (GMM) applied on Radial Basis Function Neural Network (RBFNN) is proposed in order to approximate the functions which have hig... 详细信息
来源: 评论
MODELING AND PREDICTIVE CONTROL USING HYBRID INTELLIGENT TECHNIQUES FOR A NONLINEAR MULTIVARIABLE PROCESS
收藏 引用
INSTRUMENTATION SCIENCE & TECHNOLOGY 2011年 第2期39卷 211-230页
作者: Subathra, B. Radhakrishnan, T. K. Natl Inst Technol Dept Chem Engn Tiruchirappalli 620015 Tamil Nadu India
A recurrent neuro fuzzy network (RNFN) model-based multistep ahead predictive control strategy is proposed in this article. The fuzzy logic (FL) and neural networks (NN) are intelligent system approaches, and they com... 详细信息
来源: 评论
Prediction of magnetic field near power lines by normalized radial basis function network
收藏 引用
ADVANCES IN ENGINEERING SOFTWARE 2011年 第11期42卷 934-938页
作者: Rankovic, Vesna Radulovic, Jasna Univ Kragujevac Fac Mech Engn Kragujevac 34000 Serbia
Over the past several decades, concerns have been raised over the possibility that the exposure to extremely low frequency electromagnetic fields from power lines may have harmful effects on human and living organisms... 详细信息
来源: 评论
Supervised Learning in a Single Layer Dynamic Synapses Neural Network
Supervised Learning in a Single Layer Dynamic Synapses Neura...
收藏 引用
International Joint Conference on Neural Networks (IJCNN)
作者: Yousefi, Ali Dibazar, Alireza A. Berger, Theodore W. Univ So Calif Neural Dynam Lab Los Angeles CA 90089 USA
The main focus of this paper is to introduce a new supervised learning algorithm for spiking neural networks. The learning algorithm minimizes the overall differences between spike times of target and test spike train... 详细信息
来源: 评论
Learning to Rank Relational Objects Based on the Listwise Approach
Learning to Rank Relational Objects Based on the Listwise Ap...
收藏 引用
International Joint Conference on Neural Networks (IJCNN)
作者: Ding, Yuxin Zhou, Di Xiao, Min Dong, Li Harin Inst Technol Shenzhen Grad Sch Dept Comp Sci & Technol Shenzhen 518055 Peoples R China
In recent years machine learning technologies have been applied to ranking, and a new research branch named "learning to rank" has emerged. Three types of learning-to-rank methods - pointwise, pairwise and l... 详细信息
来源: 评论
UNMIXING HYPERSPECTRAL IMAGES USING THE GENERALIZED BILINEAR MODEL
UNMIXING HYPERSPECTRAL IMAGES USING THE GENERALIZED BILINEAR...
收藏 引用
IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
作者: Halimi, Abderrahim Altmann, Yoann Dobigeon, Nicolas Tourneret, Jean-Yves Univ Toulouse IRIT INP ENSEEIHT TeSA Toulouse France
Nonlinear models have recently shown interesting properties for spectral unmixing. This paper considers a generalized bilinear model recently introduced for unmixing hyperspectral images. Different algorithms are stud... 详细信息
来源: 评论