咨询与建议

限定检索结果

文献类型

  • 470 篇 期刊文献
  • 310 篇 会议
  • 4 篇 学位论文

馆藏范围

  • 784 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 730 篇 工学
    • 488 篇 计算机科学与技术...
    • 299 篇 电气工程
    • 129 篇 信息与通信工程
    • 97 篇 软件工程
    • 63 篇 控制科学与工程
    • 48 篇 仪器科学与技术
    • 30 篇 电子科学与技术(可...
    • 26 篇 机械工程
    • 26 篇 石油与天然气工程
    • 21 篇 生物医学工程(可授...
    • 14 篇 测绘科学与技术
    • 12 篇 动力工程及工程热...
    • 10 篇 交通运输工程
    • 9 篇 材料科学与工程(可...
    • 9 篇 环境科学与工程(可...
    • 9 篇 网络空间安全
    • 7 篇 光学工程
    • 6 篇 化学工程与技术
    • 5 篇 土木工程
  • 128 篇 理学
    • 51 篇 物理学
    • 37 篇 生物学
    • 29 篇 化学
    • 23 篇 数学
    • 10 篇 地球物理学
    • 5 篇 系统科学
  • 88 篇 医学
    • 62 篇 临床医学
    • 24 篇 基础医学(可授医学...
    • 14 篇 特种医学
  • 59 篇 管理学
    • 51 篇 管理科学与工程(可...
    • 8 篇 图书情报与档案管...
  • 6 篇 农学
  • 3 篇 法学
  • 2 篇 经济学
  • 2 篇 教育学
  • 1 篇 文学
  • 1 篇 艺术学

主题

  • 784 篇 auto-encoder
  • 191 篇 deep learning
  • 50 篇 feature extracti...
  • 47 篇 anomaly detectio...
  • 43 篇 machine learning
  • 37 篇 unsupervised lea...
  • 25 篇 lstm
  • 25 篇 convolutional ne...
  • 21 篇 neural networks
  • 21 篇 classification
  • 19 篇 task analysis
  • 19 篇 deep neural netw...
  • 19 篇 convolutional ne...
  • 18 篇 neural network
  • 16 篇 training
  • 15 篇 fault diagnosis
  • 15 篇 cnn
  • 15 篇 extreme learning...
  • 14 篇 clustering
  • 14 篇 generative adver...

机构

  • 6 篇 fuzhou univ coll...
  • 5 篇 northeastern uni...
  • 5 篇 univ elect sci &...
  • 4 篇 jiangnan univ sc...
  • 4 篇 sichuan univ col...
  • 4 篇 yunnan univ sch ...
  • 4 篇 air force engn u...
  • 4 篇 northeastern uni...
  • 4 篇 southeast univ s...
  • 3 篇 china univ min &...
  • 3 篇 nanjing univ sta...
  • 3 篇 xidian univ sch ...
  • 3 篇 tianjin univ col...
  • 3 篇 jiangnan univ sc...
  • 3 篇 fudan univ acad ...
  • 3 篇 univ elect sci &...
  • 3 篇 north china elec...
  • 3 篇 univ sci & techn...
  • 3 篇 shanghai jiao to...
  • 3 篇 huazhong univ sc...

作者

  • 6 篇 wang shiping
  • 5 篇 liu yang
  • 5 篇 fu yun
  • 5 篇 zhou lihua
  • 4 篇 cai jinyu
  • 4 篇 li rui
  • 4 篇 zhang wanqing
  • 4 篇 wang xiaodan
  • 4 篇 li shuaichao
  • 4 篇 lei lei
  • 4 篇 guo wenzhong
  • 4 篇 cui ying
  • 3 篇 xie xijiong
  • 3 篇 fu r.
  • 3 篇 fayyazi hossein
  • 3 篇 zuo wenbo
  • 3 篇 li yanfeng
  • 3 篇 liu zhen
  • 3 篇 xu kai
  • 3 篇 wang li

语言

  • 758 篇 英文
  • 20 篇 其他
  • 4 篇 中文
  • 3 篇 德文
  • 2 篇 法文
  • 1 篇 意大利文
  • 1 篇 朝鲜文
检索条件"主题词=Auto-Encoder"
784 条 记 录,以下是51-60 订阅
排序:
Age invariant face recognition and retrieval by coupled auto-encoder networks
收藏 引用
NEUROCOMPUTING 2017年 222卷 62-71页
作者: Xu, Chenfei Liu, Qihe Ye, Mao Univ Elect Sci & Technol China Sch Comp Sci & Engn Ctr Robot Chengdu 611731 Peoples R China
Recently many promising results have been shown on face recognition related problems. However, age invariant face recognition and retrieval remains a challenge. Inspired by the observation that age variation is a nonl... 详细信息
来源: 评论
Representation learning by hierarchical ELM auto-encoder with double random hidden layers
收藏 引用
IET COMPUTER VISION 2019年 第4期13卷 411-419页
作者: Li, Rui Wang, Xiaodan Lei, Lei Wu, Chongming Air Force Engn Univ Coll Air & Missile Def Xian 710051 Shanxi Peoples R China Xijing Univ Coll Business Xian 710123 Shanxi Peoples R China
Recent research developments of extreme learning machine (ELM) with multilayer network architecture lead to a promising high performance with extremely fast training speed for representation learning. In this work, th... 详细信息
来源: 评论
A feature extraction and classification algorithm based on improved sparse auto-encoder for round steel surface defects
收藏 引用
MATHEMATICAL BIOSCIENCES AND ENGINEERING 2020年 第5期17卷 5369-5394页
作者: Yan, Xuguo Gao, Liang Huazhong Univ Sci & Technol Sch Mech Sci & Engn State Key Lab Digital Mfg Equipment & Technol Wuhan 430074 Peoples R China
Traditional feature dimensionality reduction (FDR) algorithms can extract features by reducing feature dimensions. However, it may lose some useful information and affect the accuracy of classification. Normally, in t... 详细信息
来源: 评论
Surrogate-based model using auto-encoder for optimising multi-band antennas
收藏 引用
IET MICROWAVES ANTENNAS & PROPAGATION 2022年 第11期16卷 725-732页
作者: Um, Kwi Seob Kim, Nam Jik Heo, Seo Weon Hongik Univ Sch Elect & Elect Engn Seoul 04066 South Korea
This paper suggests an optimisation method to design multi-band antenna using artificial neural networks. The proposed network, surrogate-based model using auto-encoder (SBM-AE), is composed of two parts, ordinary neu... 详细信息
来源: 评论
automatic detection of arrhythmias from an ECG signal using an auto-encoder and SVM classifier
收藏 引用
PHYSICAL AND ENGINEERING SCIENCES IN MEDICINE 2022年 第2期45卷 665-674页
作者: Ojha, Manoj Kumar Wadhwani, Sulochna Wadhwani, Arun Kumar Shukla, Anupam Madhav Inst Sci & Technol Gwalior Madhya Pradesh India Indian Inst Informat Technol Pune Maharashtra India
Millions of people around the world are affected by arrhythmias, which are abnormal activities of the functioning of the heart. Most arrhythmias are harmful to the heart and can suddenly become life-threatening. The e... 详细信息
来源: 评论
Unsupervised medical image feature learning by using de-melting reduction auto-encoder
收藏 引用
NEUROCOMPUTING 2023年 第1期523卷 145-156页
作者: Sun, Yu Cong, Jinyu Zhang, Kuixing Jian, Muwei Wei, Benzheng Shandong Univ Tradit Chinese Med Ctr Med Artificial Intelligence Qingdao 266112 Peoples R China Shandong Univ Tradit Chinese Med Qingdao Acad Chinese Med Sci Qingdao 266112 Peoples R China Shandong Univ Tradit Chinese Med Coll Intelligence & Informat Engn Jinan 250355 Shandong Peoples R China Shandong Univ Finance & Econ Jinan 250355 Shandong Peoples R China
Unsupervised feature learning is a fundamental and highly prioritized problem in medical image analysis. Although it has shown considerable improvements, it remains challenging because of its weak feature expression a... 详细信息
来源: 评论
A network intrusion detection framework on sparse deep denoising auto-encoder for dimensionality reduction
收藏 引用
SOFT COMPUTING 2024年 第5期28卷 4503-4517页
作者: Manjunatha, B. A. Shastry, K. Aditya Naresh, E. Pareek, Piyush Kumar Reddy, Kadiri Thirupal Nitte Meenakshi Inst Technol Bengaluru India Manipal Acad Higher Educ Manipal Inst Technol Bengaluru Dept Informat Technol Manipal India Bharat Inst Engn & Technol Hyderabad India
In today's internet-driven world, a multitude of attacks occurs daily, propelled by a vast user base. The effective detection of these numerous attacks is a growing area of research, primarily accomplished through... 详细信息
来源: 评论
A novel fusion approach of deep convolution neural network with auto-encoder and its application in planetary gearbox fault diagnosis
收藏 引用
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY 2021年 第1期235卷 3-16页
作者: Chen, Fafa Liu, Lili Tang, Baoping Chen, Baojia Xiao, Wenrong Zhang, Fajun China Three Gorges Univ Hubei Key Lab Hydroelect Machinery Design & Maint Yichang 443002 Peoples R China Chongqing Univ State Key Lab Mech Transmiss Chongqing Peoples R China Nanyang Technol Univ Sch Mech & Aerosp Engn Singapore Singapore
The fault features of gearbox are often influenced and interwoven with each other under the non-stationary condition. The traditional shallow intelligent diagnosis models are difficult to detect and identify gearbox f... 详细信息
来源: 评论
Discriminative Representation Learning with Supervised auto-encoder
收藏 引用
NEURAL PROCESSING LETTERS 2019年 第2期49卷 507-520页
作者: Du, Fang Zhang, Jiangshe Ji, Nannan Hu, Junying Zhang, Chunxia Xi An Jiao Tong Univ Sch Math & Stat Xian 710049 Shaanxi Peoples R China Changan Univ Dept Mathmat & Informat Sci Xian 710046 Shaanxi Peoples R China
auto-encoders have been proved to be powerful unsupervised learning methods that able to extract useful features from input data or construct deep artificial neural networks by recent studies. In such settings, the ex... 详细信息
来源: 评论
Joint optimization of degradation assessment and remaining useful life for with convolutional auto-encoder
收藏 引用
ISA TRANSACTIONS 2024年 146卷 451-462页
作者: Ding, Yifei Jia, Minping Zhao, Xiaoli Yan, Xiaoan Lee, Chi-Guhn Southeast Univ Sch Mech Engn Nanjing 211189 Peoples R China Univ Toronto Ctr Maintenance Optimizat & Reliabil Engn Toronto ON M5S 3G8 Canada Nanjing Univ Sci & Technol Sch Mech Engn Nanjing 210014 Peoples R China Nanjing Forestry Univ Sch Mechatron Engn Nanjing 210037 Peoples R China
Remaining useful life (RUL) prediction and degradation assessment are pivotal components of prognostic and health management (PHM) and represent vital tasks in the implementation of predictive maintenance for bearings... 详细信息
来源: 评论