Fractional Approximation of Broad Learning System

Article Properties
  • DOI (url)
    10.1109/tcyb.2021.3127152
  • Publication Date
    2024/02/01
  • Journal
    IEEE Transactions on Cybernetics
  • Indian UGC (journal)
  • Refrences
    45
  • Citations
    1
  • Shujun Wu College of Science, China University of Petroleum (East China), Qingdao, China
  • Jian Wang College of Science, China University of Petroleum (East China), Qingdao, China ORCID (unauthenticated)
  • Huaying Sun College of Science, China University of Petroleum (East China), Qingdao, China
  • Kai Zhang College of Petroleum Engineering, China University of Petroleum (East China), Qingdao, China ORCID (unauthenticated)
  • Nikhil R. Pal Electronics and Communication Sciences Unit and the Centre for Artificial Intelligence and Machine Learning, Indian Statistical Institute, Kolkata, India ORCID (unauthenticated)
Cite
Wu, Shujun, et al. “Fractional Approximation of Broad Learning System”. IEEE Transactions on Cybernetics, vol. 54, no. 2, 2024, pp. 811-24, https://doi.org/10.1109/tcyb.2021.3127152.
Wu, S., Wang, J., Sun, H., Zhang, K., & Pal, N. R. (2024). Fractional Approximation of Broad Learning System. IEEE Transactions on Cybernetics, 54(2), 811-824. https://doi.org/10.1109/tcyb.2021.3127152
Wu, Shujun, Jian Wang, Huaying Sun, Kai Zhang, and Nikhil R. Pal. “Fractional Approximation of Broad Learning System”. IEEE Transactions on Cybernetics 54, no. 2 (2024): 811-24. https://doi.org/10.1109/tcyb.2021.3127152.
Wu S, Wang J, Sun H, Zhang K, Pal NR. Fractional Approximation of Broad Learning System. IEEE Transactions on Cybernetics. 2024;54(2):811-24.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Technology
Mechanical engineering and machinery
Refrences
Title Journal Journal Categories Citations Publication Date
Constructive Approximation by Superposition of Sigmoidal Functions Analysis in Theory and Applications
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
 30 2013
The construction and approximation of neural networks operators with Gaussian activation function 2013
Sobolev Spaces 2003
Real and Complex Analysis (Higher Mathematics Series) 1987
10.1007/978-1-4612-2856-1_21
Citations
Title Journal Journal Categories Citations Publication Date
Dynamic Model Interpretation-Guided Online Active Learning Scheme for Real-Time Safety Assessment IEEE Transactions on Cybernetics
  • Technology: Mechanical engineering and machinery
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 2024
Citations Analysis
Category Category Repetition
Technology: Mechanical engineering and machinery1
Science: Mathematics: Instruments and machines: Electronic computers. Computer science1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics1
The category Technology: Mechanical engineering and machinery 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Dynamic Model Interpretation-Guided Online Active Learning Scheme for Real-Time Safety Assessment and was published in 2024. The most recent citation comes from a 2024 study titled Dynamic Model Interpretation-Guided Online Active Learning Scheme for Real-Time Safety Assessment. This article reached its peak citation in 2024, with 1 citations. It has been cited in 1 different journals. Among related journals, the IEEE Transactions on Cybernetics cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year