Detail publikace
Aproximation of walking robot stability model
KREJSA, J. GREPL, R. VĚCHET, S.
Český název
Aproximation of walking robot stability model
Anglický název
Aproximation of walking robot stability model
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
en
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.
Český 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 anglicky
Stability, Walking robot, Aproximation
Rok RIV
2004
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
Počet stran
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",
month="May",
publisher="Institute of Thermomechanics, Academy of Sciences of the Czec Republic",
address="Svratka",
isbn="80-85918-88-9"
}