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Comparison Between Extreme Learning Machine and Fast Learning Network Based on Intrusion Detection System

EasyChair Preprint 5103

5 pagesDate: March 4, 2021

Abstract

Currently, Intrusion Detection System (IDS) design based on machine learning algorithms achieved better results in compare with traditional intrusion detection system. Moreover, Extreme Learning Machine (ELM) and Fast Learning Network (FLN) are represents a popular machine learning Algorithms that had been gives promising results when applied in several fields. This work proposed a comparison between ELM and FLN based on intrusion detection system with different numbers of Neurons to analysis the impact of algorithms architecture based IDS accuracy.

Keyphrases: Fast Learning Network, Intrusion Detection System, machine learning

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:5103,
  author    = {Mohammed Hasan Ali and Mustafa Musa Jaber},
  title     = {Comparison Between Extreme Learning Machine and Fast Learning Network Based on Intrusion Detection System},
  howpublished = {EasyChair Preprint 5103},
  year      = {EasyChair, 2021}}
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