Detail publikace

Neuron Models of Mechatronic Systems

KLÍMA, M. VEČERKA, J.

Anglický název

Neuron Models of Mechatronic Systems

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

en

Originální abstrakt

This paper presents modeling of the induction machine by using artificial neural networks (ANN). The architecture of proposed model is optimized through the change of number of inputs and number of neurons in the hidden layer. This approach is computationally very time-consuming, but this problem was reduced using the Parallel Virtual Machine (PVM) software. This software allows integration of a computational power of several network-connected computers into one virtual machine. Due to fact that adaptation of neural network is an independent process, computational power of virtual machine is proportional to a number of used computers.

Anglický abstrakt

This paper presents modeling of the induction machine by using artificial neural networks (ANN). The architecture of proposed model is optimized through the change of number of inputs and number of neurons in the hidden layer. This approach is computationally very time-consuming, but this problem was reduced using the Parallel Virtual Machine (PVM) software. This software allows integration of a computational power of several network-connected computers into one virtual machine. Due to fact that adaptation of neural network is an independent process, computational power of virtual machine is proportional to a number of used computers.

Klíčová slova anglicky

Neural network, induction machine, stator current, optimization, neural network architecture

Vydáno

01.01.2000

Nakladatel

Institute of Theoretical and Applied Mechanics, Academy of Science

Místo

Praha

ISBN

80-86246-06-X

Kniha

Engineering Mechanics 2000

Počet stran

6

BIBTEX


@inproceedings{BUT4134,
  author="Michal {Klíma} and Jiří {Večerka},
  title="Neuron Models of Mechatronic Systems",
  booktitle="Engineering Mechanics 2000",
  year="2000",
  month="January",
  publisher="Institute of Theoretical and Applied Mechanics, Academy of Science",
  address="Praha",
  isbn="80-86246-06-X"
}