Some properties of a class of fuzzy neural networks

Choon Ki Ahn, Pyung Soo Kim

Research output: Contribution to journalArticlepeer-review

Abstract

This paper investigates some properties of Takagi-Sugeno (T-S) fuzzy Hopfield neural networks. First, we prove that there exists a unique solution of the T-S fuzzy Hopfield neural network. Second, we determine a condition for input-to-state stability (ISS) of the T-S fuzzy Hopfield neural network. These results will be useful to analyze dynamic behavior of fuzzy neural networks.

Original languageEnglish
Pages (from-to)4134-4136
Number of pages3
JournalInternational Journal of Physical Sciences
Volume6
Issue number16
Publication statusPublished - 2011 Aug 18
Externally publishedYes

Keywords

  • Fuzzy neural networks
  • Input-to-state stability (ISS)
  • Unique solution

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Physics and Astronomy(all)

Fingerprint Dive into the research topics of 'Some properties of a class of fuzzy neural networks'. Together they form a unique fingerprint.

Cite this