咨询与建议

限定检索结果

文献类型

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

馆藏范围

  • 255 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 227 篇 工学
    • 101 篇 电气工程
    • 98 篇 计算机科学与技术...
    • 57 篇 控制科学与工程
    • 20 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

  • 255 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

  • 241 篇 英文
  • 8 篇 其他
  • 6 篇 中文
检索条件"主题词=Gradient descent algorithm"
255 条 记 录,以下是231-240 订阅
排序:
Service Benefit Aware Multi-Task Assignment Strategy for Mobile Crowd Sensing
收藏 引用
SENSORS 2019年 第21期19卷 4666-4666页
作者: Li, Zhidu Liu, Hailiang Wang, Ruyan Chongqing Univ Posts & Telecommun Sch Commun & Informat Engn Chongqing 400065 Peoples R China Key Lab Opt Commun & Networks Chongqing 400065 Peoples R China Key Lab Ubiquitous Sensing & Networking Chongqing 400065 Peoples R China
Mobile crowd sensing (MCS) systems usually attract numerous participants with widely varying sensing costs and interest preferences to perform tasks, where accurate task assignment plays an indispensable role and also... 详细信息
来源: 评论
Enhancing Logistic Regression Using Neural Networks for Classification in Actuarial Learning
收藏 引用
algorithmS 2023年 第2期16卷 99-99页
作者: Tzougas, George Kutzkov, Konstantin Heriot Watt Univ Sch Math & Comp Sci Dept Actuarial Math & Stat Edinburgh EH14 4AS Scotland Teva Pharmaceut Sofia 1407 Bulgaria
We developed a methodology for the neural network boosting of logistic regression aimed at learning an additional model structure from the data. In particular, we constructed two classes of neural network-based models... 详细信息
来源: 评论
A Novel Interactively Recurrent Self-Evolving Fuzzy CMAC and Its Classification Applications
收藏 引用
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE AND APPLICATIONS 2015年 第3期14卷 1550019-1550019页
作者: Wang, Jyun-Guo Tai, Shen-Chuan Lin, Cheng-Jian Natl Cheng Kung Univ Inst Comp & Commun Engn Tainan 701 Taiwan Natl Chin Yi Univ Technol Dept Comp Sci & Informat Engn 57Sec 2Zhongshan Rd Taichung 41170 Taiwan
In this paper, an Interactively Recurrent Self-evolving Fuzzy Cerebellar Model Articulation Controller (IRSFCMAC) model is developed for solving classification problems. The proposed IRSFCMAC classifier consists of in... 详细信息
来源: 评论
Event-triggered PID control for wastewater treatment plants
收藏 引用
JOURNAL OF WATER PROCESS ENGINEERING 2020年 38卷
作者: Du, Shengli Yan, Qiushuo Qiao, Junfei Beijing Univ Technol Fac Informat Technol Beijing 100124 Peoples R China Beijing Key Lab Computat Intelligence & Intellige Beijing 100124 Peoples R China
This paper is concerned with the dissolved oxygen control problem in the wastewater treatment plants (WWTPs) based on a dynamic event-triggered PID control strategy (D-EPID). The aim of the paper is to develop a simpl... 详细信息
来源: 评论
Riemannian optimization for phase retrieval from masked Fourier measurements
收藏 引用
ADVANCES IN COMPUTATIONAL MATHEMATICS 2021年 第6期47卷 88-88页
作者: Li Huiping Li Song Zhejiang Univ Sch Math Sci 38 Zheda Rd Hangzhou 310027 Peoples R China Hangzhou Normal Univ Dept Math 2318 Yuhangtang Rd Hangzhou 311121 Peoples R China
In this paper, we consider the noisy phase retrieval problem under the measurements of Fourier transforms with complex random masks. Here two kinds of Riemannian optimization algorithms, namely, Riemannian gradient de... 详细信息
来源: 评论
TSK Interval Type-2 Fuzzy Neural Networks for Chaotic Time Series Prediction
TSK Interval Type-2 Fuzzy Neural Networks for Chaotic Time S...
收藏 引用
8th World Congress on Intelligent Control and Automation (WCICA)
作者: Zhao, Liang Henan Univ Technol Inst Elect Engn Zhengzhou 450000 Peoples R China
This paper presents TSK interval type-2 fuzzy neural network (TSK IT2FNN) and its learning algorithm for chaotic time series prediction. First, The structure of TSK IT2FNN is decided using the hierarchical fuzzy clust... 详细信息
来源: 评论
Temporal community detection based on symmetric nonnegative matrix factorization
收藏 引用
INTERNATIONAL JOURNAL OF MODERN PHYSICS B 2017年 第13期31卷 1750102-1750102页
作者: Jiao, Pengfei Lyu, Haodong Li, Xiaoming Yu, Wei Wang, Wenjun Tianjin Univ Sch Comp Sci & Technol Tianjin 300072 Peoples R China
To understand time-evolving networks, researchers should not only concentrate on the community structures, an essential property of complex networks, in each snapshot, but also study the internal evolution of the enti... 详细信息
来源: 评论
An Adaptive Orientation Estimation Method for Magnetic and Inertial Sensors in the Presence of Magnetic Disturbances
收藏 引用
SENSORS 2017年 第5期17卷 1161-1161页
作者: Fan, Bingfei Li, Qingguo Wang, Chao Liu, Tao Zhejiang Univ Sch Mech Engn State Key Lab Fluid Power & Mechatron Syst Hangzhou 310027 Zhejiang Peoples R China Queens Univ Dept Mech & Mat Engn Kingston ON K7L 3N6 Canada
Magnetic and inertial sensors have been widely used to estimate the orientation of human segments due to their low cost, compact size and light weight. However, the accuracy of the estimated orientation is easily affe... 详细信息
来源: 评论
A Comparative Performance of Optimizers and Tuning of Neural Networks for Spoof Detection Framework
收藏 引用
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2022年 第4期13卷 884-890页
作者: Chadha, Ankita Abdullah, Azween Angeline, Lorita Taylors Univ Sch Comp Sci Subang Jaya 47500 Selangor Malaysia
The breakthroughs in securing speaker verification systems have been challenging and yet are explored by many researchers over the past five years. The compromise in security of these systems is due to naturally sound... 详细信息
来源: 评论
An unsupervised neural network to solve transportation problems
收藏 引用
Journal of the Institution of Engineers (India), Part PR: Production Engineering Division 2005年 第SEPT.期86卷 5-7页
作者: Mouli, K. V. V. Chandra Srinivas, J. Subbaiah, K.V. Department of Mechanical Engineering Gandhi Institute of Technology and Management Visakhapatnam 530 045 India Department of Mechanical Engineering Chaitnaya College of Engineering Visakhapatnam 530 041 India Department of Mechanical Engineering AU College of Engineering Visakhapatnam 530 003 India
This article presents a new two-layer neural network model for predicting the optimum solution to linear programming problems. An energy function that transforms linear programming problem into a non-linear function i... 详细信息
来源: 评论