Detail publikačního výsledku

Aproximation of walking robot stability model

KREJSA, J., GREPL, R., VĚCHET, S.

Originální název

Aproximation of walking robot stability model

Anglický název

Aproximation of walking robot stability model

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

Abstract: The paper compares global and local approximation methods used for walking robot stability model. Global approximators are represented by feedforward multilayer neural network (FFNN) trained by gradient method; local approximators are represented by Locally Weighted Regression (LWR) and Receptive Field Weighted Regression (RFWR) methods.

Anglický abstrakt

Abstract: The paper compares global and local approximation methods used for walking robot stability model. Global approximators are represented by feedforward multilayer neural network (FFNN) trained by gradient method; local approximators are represented by Locally Weighted Regression (LWR) and Receptive Field Weighted Regression (RFWR) methods.

Klíčová slova

Stability, Walking robot, Aproximation

Klíčová slova v angličtině

Stability, Walking robot, Aproximation

Autoři

KREJSA, J., GREPL, R., VĚCHET, S.

Vydáno

10.05.2004

Nakladatel

Institute of Thermomechanics, Academy of Sciences of the Czec Republic

Místo

Svratka

ISBN

80-85918-88-9

Kniha

Enigneering Mechanics 2004, National Conference with International Participation

Strany od

159

Strany počet

2

BibTex

@inproceedings{BUT12326,
  author="Jiří {Krejsa} and Robert {Grepl} and Stanislav {Věchet}",
  title="Aproximation of walking robot stability model",
  booktitle="Enigneering Mechanics 2004, National Conference with International Participation",
  year="2004",
  pages="2",
  publisher="Institute of Thermomechanics, Academy of Sciences of the Czec Republic",
  address="Svratka",
  isbn="80-85918-88-9"
}