Detail publikace

The Using of Neural Networks in Identification

Originální název

The Using of Neural Networks in Identification

Anglický název

The Using of Neural Networks in Identification

Jazyk

en

Originální abstrakt

Process identification is of great significance in adaptive control. In addition to classical method of the continuous identification (least squares method) can be applied to other methods. Among these there is application of the neural networks by means of which the sought parameters can by determined. The most frequently used learning algorithms are backpropagation and the Marquardt – Levenberg method, which this article is dealing with.

Anglický abstrakt

Process identification is of great significance in adaptive control. In addition to classical method of the continuous identification (least squares method) can be applied to other methods. Among these there is application of the neural networks by means of which the sought parameters can by determined. The most frequently used learning algorithms are backpropagation and the Marquardt – Levenberg method, which this article is dealing with.

BibTex 


@inproceedings{BUT8004,
  author="Jiří {Dohnal} and Petr {Pivoňka}",
  title="The Using of Neural Networks in Identification",
  annote="Process identification is of great significance in adaptive control. In addition to classical method of the continuous identification (least squares method) can be applied to other methods. Among these there is application of the neural networks by means of which the sought parameters can by determined. The most frequently used learning algorithms are backpropagation and the Marquardt – Levenberg method, which this article is dealing with.",
  booktitle="Mendel 2003",
  chapter="8004",
  year="2003",
  month="june",
  pages="168",
  type="conference paper"
}