Detail publikace

The Real-Time Identification of Dynamic Systems by using the Neural net Approach

Originální název

The Real-Time Identification of Dynamic Systems by using the Neural net Approach

Anglický název

The Real-Time Identification of Dynamic Systems by using the Neural net Approach

Jazyk

en

Originální abstrakt

Neural networks play significant role in the sphere of control of a dynamic systems. It can be appropriately used for continuous identification of parameters of the system as neural controllers, etc. The neural networks must be correctly learnt to meet our requirements. There is a great number of learn algorithms. Among the most used learning algorithms belong the Levenberg-Marquardt and backpropagation.

Anglický abstrakt

Neural networks play significant role in the sphere of control of a dynamic systems. It can be appropriately used for continuous identification of parameters of the system as neural controllers, etc. The neural networks must be correctly learnt to meet our requirements. There is a great number of learn algorithms. Among the most used learning algorithms belong the Levenberg-Marquardt and backpropagation.

BibTex


@inproceedings{BUT8750,
  author="Jiří {Dohnal} and Petr {Pivoňka}",
  title="The Real-Time Identification of Dynamic Systems by using the Neural net Approach",
  annote="Neural networks play significant role in the sphere of control of a dynamic systems. It can be appropriately used for continuous identification of  parameters of the system as neural controllers, etc. The neural networks must be correctly learnt to meet our requirements. There is a great number of        learn algorithms. Among the most used learning  algorithms belong the Levenberg-Marquardt and backpropagation.",
  address="CIKLUS, Slovenia",
  booktitle="IEEE ICIT 2003",
  chapter="8750",
  institution="CIKLUS, Slovenia",
  year="2003",
  month="december",
  pages="99",
  publisher="CIKLUS, Slovenia",
  type="conference paper"
}