Aproximation of walking robot stability model
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F04%3APU45596" target="_blank" >RIV/00216305:26210/04:PU45596 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Aproximation of walking robot stability model
Original language description
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.
Czech name
Aproximation of walking robot stability model
Czech description
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.
Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2004
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Enigneering Mechanics 2004, National Conference with International Participation
ISBN
ISBN 80-85918-8
ISSN
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e-ISSN
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Number of pages
2
Pages from-to
159-160
Publisher name
Institute of Thermomechanics, Academy of Sciences of the Czec Republic
Place of publication
Svratka
Event location
Svratka
Event date
May 10, 2004
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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