Skip to main navigation Skip to search Skip to main content

Effects of nonlinearity and network architecture on the performance of supervised neural networks

  • Texas Southern University
  • Prairie View A and M University

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Article number51
JournalAlgorithms
Volume14
Issue number2
DOIs
StatePublished - Feb 2021

ASJC Scopus Subject Areas

  • Theoretical Computer Science
  • Numerical Analysis
  • Computational Theory and Mathematics
  • Computational Mathematics

Keywords

  • Activation function
  • Entropy
  • Neural networks
  • Nonlinearity

Cite this