Robust estimation of principal components by using neural network learning algorithms

A. Cichocki, R. Unbehauen

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)

Abstract

A new, low cost neural network with on-chip learning algorithms for robust estimation of the principal components and the minor components are proposed. Extensive computer simulations have confirmed the validity and high robustness of the proposed algorithms.

Original languageEnglish
Pages (from-to)1869-1870
Number of pages2
JournalElectronics Letters
Volume29
Issue number21
DOIs
Publication statusPublished - Oct 1993
Externally publishedYes

Keywords

  • Learning systems
  • Neural networks
  • Statistical analysis

Fingerprint

Dive into the research topics of 'Robust estimation of principal components by using neural network learning algorithms'. Together they form a unique fingerprint.

Cite this