Detail publikace

Inverzní modelování s využitím aproximačních metod

MIČEK, P. VĚCHET, S. BŘEZINA, T.

Český název

Inverzní modelování s využitím aproximačních metod

Anglický název

Inverted modelling with approximation methods

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

en

Originální abstrakt

This paper deals with making the inverse kinematic modells. Two robotic pedal mechanisms are used as examples of the modelling process. The Neurofuzzy approach, the Lazy Learning method, the Locally Weighted Regression and artificial Neural network are used in the modell creation. The comparison of results produced by different methods together with evaluation of their usability from the practical point of view is presented at the end of the paper.

Anglický abstrakt

This paper deals with making the inverse kinematic modells. Two robotic pedal mechanisms are used as examples of the modelling process. The Neurofuzzy approach, the Lazy Learning method, the Locally Weighted Regression and artificial Neural network are used in the modell creation. The comparison of results produced by different methods together with evaluation of their usability from the practical point of view is presented at the end of the paper.

Klíčová slova anglicky

Lazy Learning, Locally Weighted Regression, neural networks, fuzzy, robot, modelling

Rok RIV

2003

Vydáno

24.03.2003

Nakladatel

Institute of Mechanics of Slolids, Faculty of Mechanical Engineering, Brno University of Technology

Místo

FSI VUT Brno

ISBN

80-214-2312-9

Kniha

MECHATRONICS, ROBOTICS AND BIOMECHANICS 2003

Číslo edice

1

Počet stran

2

BIBTEX


@inproceedings{BUT9719,
  author="Pavel {Miček} and Stanislav {Věchet} and Tomáš {Březina},
  title="Inverted modelling with approximation methods",
  booktitle="MECHATRONICS, ROBOTICS AND BIOMECHANICS 2003",
  year="2003",
  month="March",
  publisher="Institute of Mechanics of Slolids, Faculty of Mechanical Engineering, Brno University of Technology",
  address="FSI VUT Brno",
  isbn="80-214-2312-9"
}