咨询与建议

限定检索结果

文献类型

  • 227 篇 期刊文献
  • 93 篇 会议
  • 4 篇 学位论文

馆藏范围

  • 324 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 298 篇 工学
    • 175 篇 计算机科学与技术...
    • 99 篇 电气工程
    • 47 篇 控制科学与工程
    • 43 篇 信息与通信工程
    • 31 篇 仪器科学与技术
    • 26 篇 软件工程
    • 14 篇 机械工程
    • 14 篇 化学工程与技术
    • 13 篇 环境科学与工程(可...
    • 11 篇 测绘科学与技术
    • 10 篇 电子科学与技术(可...
    • 7 篇 材料科学与工程(可...
    • 7 篇 石油与天然气工程
    • 7 篇 生物医学工程(可授...
    • 5 篇 交通运输工程
    • 4 篇 动力工程及工程热...
    • 4 篇 网络空间安全
    • 3 篇 土木工程
  • 63 篇 理学
    • 19 篇 生物学
    • 16 篇 数学
    • 13 篇 地球物理学
    • 12 篇 物理学
    • 11 篇 化学
    • 6 篇 系统科学
    • 3 篇 统计学(可授理学、...
  • 48 篇 管理学
    • 43 篇 管理科学与工程(可...
    • 5 篇 图书情报与档案管...
  • 24 篇 医学
    • 16 篇 临床医学
    • 5 篇 基础医学(可授医学...
  • 5 篇 农学
  • 4 篇 经济学
    • 3 篇 理论经济学
  • 1 篇 法学

主题

  • 324 篇 stacked autoenco...
  • 92 篇 deep learning
  • 27 篇 feature extracti...
  • 22 篇 deep neural netw...
  • 16 篇 classification
  • 13 篇 convolutional ne...
  • 10 篇 fault diagnosis
  • 10 篇 fault detection
  • 9 篇 autoencoder
  • 9 篇 feature learning
  • 8 篇 anomaly detectio...
  • 8 篇 intrusion detect...
  • 8 篇 machine learning
  • 7 篇 long short-term ...
  • 7 篇 soft sensor
  • 6 篇 dimensionality r...
  • 6 篇 neural network
  • 6 篇 extreme learning...
  • 5 篇 deep neural netw...
  • 5 篇 semi-supervised ...

机构

  • 6 篇 cent south univ ...
  • 5 篇 east china univ ...
  • 4 篇 east china univ ...
  • 4 篇 nanjing univ aer...
  • 3 篇 east china univ ...
  • 3 篇 south china univ...
  • 2 篇 shanghai univ en...
  • 2 篇 kunming univ sci...
  • 2 篇 guilin univ elec...
  • 2 篇 kunming univ sci...
  • 2 篇 beijing univ tec...
  • 2 篇 fudan univ sch m...
  • 2 篇 beijing inst rem...
  • 2 篇 department of co...
  • 2 篇 univ ulsan dept ...
  • 2 篇 northeastern uni...
  • 2 篇 north china univ...
  • 2 篇 china univ min &...
  • 2 篇 tongji univ shan...
  • 2 篇 sichuan univ col...

作者

  • 9 篇 yan xuefeng
  • 6 篇 wang kai
  • 4 篇 wang yalin
  • 4 篇 badem hasan
  • 4 篇 basturk alper
  • 4 篇 caliskan abdulla...
  • 4 篇 jiang qingchao
  • 4 篇 yu jianbo
  • 4 篇 yuksel mehmet em...
  • 3 篇 li shunming
  • 3 篇 mitra pabitra
  • 3 篇 nanjundiah ravi ...
  • 3 篇 yuan xiaofeng
  • 3 篇 saha moumita
  • 3 篇 qiao weibiao
  • 3 篇 kai wang
  • 3 篇 aminanto muhamad...
  • 3 篇 yang chunhua
  • 2 篇 huang yuchang
  • 2 篇 han guoqiang

语言

  • 308 篇 英文
  • 14 篇 其他
  • 1 篇 土耳其文
  • 1 篇 中文
检索条件"主题词=Stacked Autoencoder"
324 条 记 录,以下是21-30 订阅
排序:
Quantum stacked autoencoder fault diagnosis model for bearing faults
收藏 引用
INSIGHT 2023年 第11期65卷 631-638页
作者: Yu, Tianyi Li, Shunming Lu, Jiantao Nanjing Univ Aeronaut & Astronaut NUAA Coll Energy & Power Engn Nanjing 210016 Peoples R China Nanjing Univ Aeronaut & Astronaut Coll Energy & Power Engn Nanjing Peoples R China Nantong Inst Technol Sch Automot Engn Nantong 226002 Peoples R China
The use of neural network models to monitor bearing vibration signals can easily be affected by noise, which leads to a decrease in the model test accuracy. Therefore, the existence of noise problems increases the req... 详细信息
来源: 评论
A Data-Driven Health Monitoring Method Using Multiobjective Optimization and stacked autoencoder Based Health Indicator
收藏 引用
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2021年 第9期17卷 6379-6389页
作者: Chen, Zhiwen Guo, Rongjie Lin, Zhi Peng, Tao Peng, Xia Cent South Univ Sch Automat Changsha 410083 Peoples R China Peng Cheng Lab Shenzhen State Key Lab High Performance Complex Mfg Changsha 410083 Peoples R China Hong Kong Univ Sci & Technol Sch Engn Hong Kong Peoples R China
This article proposes a new data-driven health monitoring method, which uses multiobjective optimization and stacked autoencoder based health indicator. Specifically, the proposed method proposes an improved nondomina... 详细信息
来源: 评论
A hybrid network intrusion detection using darwinian particle swarm optimization and stacked autoencoder hoeffding tree
收藏 引用
MATHEMATICAL BIOSCIENCES AND ENGINEERING 2021年 第6期18卷 8024-8044页
作者: Seraphim, B. Ida Poovammal, E. Ramana, Kadiyala Kryvinska, Natalia Penchalaiah, N. SRM Inst Sci & Technol Dept Comp Sci & Engn Chennai Tamil Nadu India Annamacharya Inst Technol & Sci Dept Artificial Intelligence & Data Sci Rajampet India Comenius Univ Fac Management Informat Syst Dept Odbojarov 10 Bratislava 82005 25 Slovakia Annamacharya Inst Technol & Sci Dept CSE Rajampet India
Cybersecurity experts estimate that cyber-attack damage cost will rise tremendously. The massive utilization of the web raises stress over how to pass on electronic information safely. Usually, intruders try different... 详细信息
来源: 评论
Classification of data on stacked autoencoder using modified sigmoid activation function
收藏 引用
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2023年 第1期44卷 1-18页
作者: Kumar, Arvind Sodhi, Sartaj Singh Comp Sci & Engn USICT GGSIPU Delhi India
A Neural Network is one of the techniques by which we classify data. In this paper, we have proposed an effectively stacked autoencoder with the help of a modified sigmoid activation function. We have made a two-layer... 详细信息
来源: 评论
Distributed-ensemble stacked autoencoder model for nonlinear process monitoring
收藏 引用
INFORMATION SCIENCES 2021年 542卷 302-316页
作者: Li, Zhichao Tian, Li Jiang, Qingchao Yan, Xuefeng East China Univ Sci & Technol Key Lab Adv Control & Optimizat Chem Proc Minist Educ Shanghai 200237 Peoples R China
Determining whether a fault occurs locally or globally is highly important for large-scale industrial processes involving multiple operating units. Moreover, the complex nonlinearity among process variables is a promi... 详细信息
来源: 评论
Optimized stacked autoencoder for IoT Enabled Financial Crisis Prediction Model
收藏 引用
Computers, Materials & Continua 2022年 第4期71卷 1079-1094页
作者: Mesfer Al Duhayyim Hadeel Alsolai Fahd N.Al-Wesabi Nadhem Nemri Hany Mahgoub Anwer Mustafa Hilal Manar Ahmed Hamza Mohammed Rizwanullah Department of Natural and Applied Sciences College of Community-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversitySaudi Arabia Department of Computer Science King Khalid UniversityMuhayel AseerSaudi Arabia Faculty of Computer and IT Sana’a UniversitySana’aYemen Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia
Recently,Financial Technology(FinTech)has received more attention among financial sectors and researchers to derive effective solutions for any financial institution or *** crisis prediction(FCP)is an essential topic ... 详细信息
来源: 评论
A Novel Symmetric stacked autoencoder for Adversarial Domain Adaptation Under Variable Speed
收藏 引用
IEEE ACCESS 2022年 10卷 24678-24689页
作者: Li, Ranran Li, Shunming Xu, Kun Li, Xianglian Lu, Jiantao Zeng, Mengjie Nanjing Univ Aeronaut & Astronaut Coll Energy & Power Engn Nanjing 210016 Peoples R China
At present, most of the fault diagnosis methods with extensive research and good diagnostic effect are based on the premise that the sample distribution is consistent. However, in reality, the sample distribution of r... 详细信息
来源: 评论
A new deep model based on the stacked autoencoder with intensified iterative learning style for industrial fault detection
收藏 引用
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION 2021年 153卷 47-59页
作者: Yu, Jianbo Yan, Xuefeng East China Univ Sci & Technol Key Lab Smart Mfg Energy Chem Proc Minist Educ Shanghai 200237 Peoples R China
Deep learning-based process monitoring methods utilize the features extracted from deep neural net-works to perform fault detection and diagnosis. Traditional deep learning models are constructed in a fully connected ... 详细信息
来源: 评论
Deep stacked autoencoder-Based Long-Term Spectrum Prediction Using Real-World Data
收藏 引用
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING 2023年 第3期9卷 534-548页
作者: Pan, Guangliang Wu, Qihui Ding, Guoru Wang, Wei Li, Jie Xu, Fuyuan Zhou, Bo Nanjing Univ Aeronaut & Astronaut Key Lab Dynam Cognit Syst Electromagnet Spectrum S Minist Ind & Informat Technol Nanjing 211106 Peoples R China Army Engn Univ Coll Commun Engn Nanjing 210007 Peoples R China Nanjing Elect Equipment Res Inst Nanjing 210000 Peoples R China
Spectrum prediction is challenging due to its multi-dimension, complex inherent dependency, and heterogeneity among the spectrum data. In this paper, we first propose a stacked autoencoder (SAE) and bi-directional lon... 详细信息
来源: 评论
A stacked autoencoder-Based miRNA Regulatory Module Detection Framework
收藏 引用
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS 2019年 第2期12卷 822-832页
作者: Yang, Yi Song, Yan Hunan Womens Univ Sch Informat Sci & Engn Zhongyi Rd 160 Changsha 410004 Hunan Peoples R China
MicroRNA regulatory module (MRM) plays an important role in the study of microRNA synergism. To detect MRMs, researchers have developed a number of related methods in the preceding decades. However, some existing meth... 详细信息
来源: 评论