Adaptive on-line ANN learning algorithm and application to identification of non-linear systems

Daohang Sha, Vladimir Bajic

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

A new on-line adaptive learning rate algorithm for I/O identification based on two ANNs is proposed. The algorithm is derived from the convergence analysis of the conventional gradient descent method. Simulation experiments are given to illustrate the advantages of the proposed algorithm in its application to an identification problem of some non-linear dynamic systems.

Original languageEnglish (US)
Pages (from-to)521-529
Number of pages9
JournalInformatica (Ljubljana)
Volume23
Issue number4
StatePublished - Dec 1 1999

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Computer Science Applications
  • Artificial Intelligence

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