Detail výsledku

Analysis of Recurrent Analog Neural Networks

TOBEŠ, Z.; RAIDA, Z. Analysis of Recurrent Analog Neural Networks. Radioengineering, 1998, vol. 7, no. 2, p. 9-14. ISSN: 1210-2512.
Typ
článek v časopise
Jazyk
angličtina
Autoři
Tobeš Zdeněk, Ing.
Raida Zbyněk, prof. Dr. Ing.
Abstrakt

In this paper, an original rigorous analysis of recurrent analog neural networks, which are built from opamp neurons, is presented. The analysis, which comes from the approximate model of the operational amplifier, reveals causes of possible non-stable states and enables to determine convergence properties of the network. Results of the analysis are discussed in order to enable development of original robust and fast analog networks. In the analysis, the special attention is turned to the examination of the influence of real circuit elements and of the statistical parameters of processed signals to the parameters of the network.

Klíčová slova

Analog recurrent neural networks, convergence properties, stability, modeling of operational amplifiers

Rok
1998
Strany
9–14
Časopis
Radioengineering, roč. 7, č. 2, ISSN 1210-2512
BibTeX 
@article{BUT39035,
  author="Zdeněk {Tobeš} and Zbyněk {Raida}",
  title="Analysis of Recurrent Analog Neural Networks",
  journal="Radioengineering",
  year="1998",
  volume="7",
  number="2",
  pages="9--14",
  issn="1210-2512"
}
Pracoviště
Fakulta elektrotechniky a komunikačních technologií (FEKT)
Nahoru