Publication detail

Analysis of Recurrent Analog Neural Networks

TOBEŠ, Z. RAIDA, Z.

Original Title

Analysis of Recurrent Analog Neural Networks

Type

journal article - other

Language

English

Original Abstract

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.

Keywords

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

Authors

TOBEŠ, Z.; RAIDA, Z.

RIV year

1998

Released

1. 6. 1998

ISBN

1210-2512

Periodical

Radioengineering

Year of study

7

Number

2

State

Czech Republic

Pages from

9

Pages to

14

Pages count

6

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"
}