咨询与建议

限定检索结果

文献类型

  • 23 篇 期刊文献
  • 15 篇 会议

馆藏范围

  • 38 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 34 篇 工学
    • 19 篇 电气工程
    • 16 篇 计算机科学与技术...
    • 4 篇 信息与通信工程
    • 3 篇 仪器科学与技术
    • 2 篇 力学(可授工学、理...
    • 2 篇 机械工程
    • 2 篇 软件工程
    • 1 篇 动力工程及工程热...
    • 1 篇 电子科学与技术(可...
    • 1 篇 建筑学
    • 1 篇 土木工程
    • 1 篇 石油与天然气工程
    • 1 篇 核科学与技术
    • 1 篇 生物医学工程(可授...
  • 7 篇 理学
    • 4 篇 生物学
    • 2 篇 化学
    • 1 篇 数学
    • 1 篇 地球物理学
    • 1 篇 系统科学
    • 1 篇 生态学
  • 6 篇 管理学
    • 4 篇 管理科学与工程(可...
    • 1 篇 工商管理
    • 1 篇 公共管理
    • 1 篇 图书情报与档案管...
  • 2 篇 医学
    • 1 篇 基础医学(可授医学...
    • 1 篇 公共卫生与预防医...
  • 1 篇 法学
    • 1 篇 社会学
  • 1 篇 教育学
    • 1 篇 心理学(可授教育学...
  • 1 篇 农学

主题

  • 38 篇 supervised learn...
  • 6 篇 learning (artifi...
  • 5 篇 feature extracti...
  • 4 篇 machine learning
  • 3 篇 neurons
  • 3 篇 training
  • 2 篇 support vector m...
  • 2 篇 self-organized l...
  • 2 篇 neural nets
  • 2 篇 fuzzy neural net...
  • 2 篇 skin potential r...
  • 2 篇 least squares ap...
  • 2 篇 unmanned hybrid ...
  • 2 篇 classification
  • 2 篇 backpropagation
  • 2 篇 mathematical mod...
  • 2 篇 electrocardiogra...
  • 1 篇 spiking neural n...
  • 1 篇 planetary gearbo...
  • 1 篇 iris recognition

机构

  • 1 篇 bogazici univ de...
  • 1 篇 faculty of biosc...
  • 1 篇 univ texas arlin...
  • 1 篇 shandong univ sc...
  • 1 篇 univ so calif ne...
  • 1 篇 lg elect home ap...
  • 1 篇 univ kebangsaan ...
  • 1 篇 taiyuan tourism ...
  • 1 篇 college of autom...
  • 1 篇 univ illinois de...
  • 1 篇 natl res ctr dok...
  • 1 篇 sri sivasubraman...
  • 1 篇 imam mohammad ib...
  • 1 篇 wuhan univ sch i...
  • 1 篇 univ nevada will...
  • 1 篇 school of electr...
  • 1 篇 northwest normal...
  • 1 篇 water resources ...
  • 1 篇 univ nacl ingn c...
  • 1 篇 zhejiang univ co...

作者

  • 2 篇 zontone pamela
  • 2 篇 affanni antonio
  • 2 篇 rinaldo roberto
  • 2 篇 bernardini ricca...
  • 2 篇 piras alessandro
  • 1 篇 abiyev rahib
  • 1 篇 dehghan mehdi
  • 1 篇 hu yihong
  • 1 篇 yang xiaofei
  • 1 篇 del linz leonida
  • 1 篇 budhiraja sahib ...
  • 1 篇 da silva coelho ...
  • 1 篇 peng bo
  • 1 篇 choi jy
  • 1 篇 lin jin
  • 1 篇 chen guojun
  • 1 篇 nakvisut amomsak
  • 1 篇 mousazadeh saman
  • 1 篇 aouzellag djamal
  • 1 篇 wan can

语言

  • 37 篇 英文
  • 1 篇 其他
检索条件"主题词=Supervised learning algorithm"
38 条 记 录,以下是1-10 订阅
排序:
TSTKD: Triple-spike train kernel-driven supervised learning algorithm
收藏 引用
PATTERN RECOGNITION 2025年 164卷
作者: Chen, Guojun Wang, Guoen Hubei Normal Univ Huangshi 435002 Peoples R China Wuhan Univ Wuhan 430072 Peoples R China
Precise artificial intelligence is one of the most promising research fields, where supervised learning for spiking neurons (SNs) plays an imperative and fundamental role. This study proposes a novel supervised learni... 详细信息
来源: 评论
A supervised learning algorithm for Recurrent Spiking Neural Networks Based on BP-STDP  28th
A Supervised Learning Algorithm for Recurrent Spiking Neural...
收藏 引用
28th International Conference on Neural Information Processing
作者: Guo, Wenjun Lin, Xianghong Yang, Xiaofei Northwest Normal Univ Coll Comp Sci & Engn Lanzhou 730070 Peoples R China
Spiking neural network model encodes information with precisely timed spike train, it is very suitable to process complex spatiotemporal patterns. Recurrent spiking neural network has more complex dynamics characteris... 详细信息
来源: 评论
Demand response management system with discrete time window using supervised learning algorithm
收藏 引用
COGNITIVE SYSTEMS RESEARCH 2019年 57卷 131-138页
作者: Chellamani, Ganesh Kumar Chandramani, Premanand Venkatesh Sri Sivasubramaniya Nadar Coll Engn Dept Elect & Commun Engn Chennai 603110 Tamil Nadu India
Demand Response (DR) is a key attribute to enhance the operation of smart grid. Demand response improves the performance of the electric power systems and also deals with peak demand issues. Demand Response (DR) imple... 详细信息
来源: 评论
supervised learning and meshless methods for two-dimensional fractional PDEs on irregular domains
收藏 引用
MATHEMATICS AND COMPUTERS IN SIMULATION 2024年 216卷 77-103页
作者: Abbaszadeh, Mostafa Zaky, Mahmoud A. Hendy, Ahmed S. Dehghan, Mehdi Amirkabir Univ Technol Tehran Polytech Fac Math & Comp Sci Dept Appl Math 424 Hafez Ave Tehran 15914 Iran Imam Mohammad Ibn Saud Islamic Univ IMSIU Coll Sci Dept Math & Stat Riyadh Saudi Arabia Natl Res Ctr Dokki Dept Appl Math Giza 12622 Egypt Ural Fed Univ Inst Nat Sci & Math Dept Computat Math & Comp Sci 19 Mira St Ekaterinburg 620002 Russia Benha Univ Fac Sci Dept Math Banha 13511 Egypt
Recently, several numerical methods have been developed for solving time-fractional differential equations not only on rectangular computational domains but also on convex and non-convex non-rectangular computational ... 详细信息
来源: 评论
supervised learning Method of Parallel Classified Hesitant Information and its Application in the Smart Home System Selection
收藏 引用
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT 2024年 71卷 11212-11224页
作者: Liu, Man Zhou, Wei Xu, Zeshui Chongqing Normal Univ Sch Econ & Management Chongqing 401331 Peoples R China Yunnan Univ Finance & Econ Business Sch Kunming 650221 Peoples R China Sichuan Univ Business Sch Chengdu 610064 Peoples R China
In the group decision-making process, experts and decision makers can sometimes provide subjective evaluation information with classification labels. To effectively deal with it and make a reasonable decision, two key... 详细信息
来源: 评论
Multiclass supervised Machine learning algorithms Applied to Damage and Assessment Using Beam Dynamic Response
收藏 引用
JOURNAL OF VIBRATION ENGINEERING & TECHNOLOGIES 2023年 第6期11卷 2709-2731页
作者: de Sousa, Amanda Aryda Silva Rodrigues da Silva Coelho, Jefferson Machado, Marcela Rodrigues Dutkiewicz, Maciej Univ Brasilia Postgrad Program Integr Engn Mat Campus Univ Darcy Ribeiro BR-70910900 Brasilia DF Brazil Univ Brasilia Dept Mech Engn Campus Univ Darcy Ribeiro BR-70910900 Brasilia DF Brazil Bydgoszcz Univ Sci & Technol Fac Civil Environm Engn & Architecture PL-85796 Bydgoszcz Poland
PurposeStructural damage can significantly alter a system's local flexibility, leading to undesirable displacements and vibrations. Analysing the dynamic structure feature through statistical analysis enables us t... 详细信息
来源: 评论
A supervised learning approach for heading detection
收藏 引用
EXPERT SYSTEMS 2020年 第4期37卷 e12520-e12520页
作者: Budhiraja, Sahib Singh Mago, Vijay Lakehead Univ Dept Comp Sci DaTALab Thunder Bay ON P7B 5E1 Canada
As the popularity of the portable document format (PDF) file format increases, research that facilitates PDF text analysis or extraction is necessary. Heading detection is a crucial component of PDF-based text classif... 详细信息
来源: 评论
Building the carbonate pore-type classifier for well logging via the blended training dataset
收藏 引用
ACTA GEOPHYSICA 2021年 第1期69卷 77-94页
作者: Li Bonan Si Wenpeng Shen Hui Zhang Xuebing Nanjing Tech Univ Coll Transportat Sci & Engn Nanjing 210009 Peoples R China Sinopec Geophys Res Inst Nanjing 211103 Peoples R China Jilin Jianzhu Univ Sch Geomat & Prospecting Engn Changchun 130118 Peoples R China
The exploration of carbonate rocks has outstanding economic benefits, as well as facing the extreme challenge of reservoir characterization. This article has proposed a data-based description scheme generalizing carbo... 详细信息
来源: 评论
Research on the Application of Virtual Reality Technology in the Cultural Exchange of Tourist Attractions Under the Background of Artificial Intelligence
收藏 引用
INTERNATIONAL JOURNAL OF INFORMATION SYSTEMS AND SUPPLY CHAIN MANAGEMENT 2024年 第1期17卷 1页
作者: Hou, Na Taiyuan Tourism Coll Taiyuan Peoples R China
Virtual reality is an immersive interactive technology that captures the entire location within 360 degrees with the help of special cameras, mounts and software. This paper discusses the role of artificial intelligen... 详细信息
来源: 评论
The ensemble approach in comparison with the diverse feature selection techniques for estimating NPPs parameters using the different learning algorithms of the feed-forward neural network
收藏 引用
NUCLEAR ENGINEERING AND TECHNOLOGY 2021年 第12期53卷 3944-3951页
作者: Moshkbar-Bakhshayesh, Khalil Sharif Univ Technol Dept Energy Engn Azadi Ave Tehran Iran
Several reasons such as no free lunch theorem indicate that there is nota universal Feature selection (FS) technique that outperforms other ones. Moreover, some approaches such as using synthetic dataset, in presence ... 详细信息
来源: 评论