Robust Algorithm for Estimation of Parameters in Non-linear Regression Model

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F05%3A00000179" target="_blank" >RIV/61988987:17310/05:00000179 - isvavai.cz</a>
Alternative codes found
RIV/61988987:17610/05:00000092 RIV/61988987:17610/05:00000227 RIV/61988987:17310/05:00000172
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Robust Algorithm for Estimation of Parameters in Non-linear Regression Model
Original language description
The paper deals with algorithms for estimation of non-linear regression parameters. Stochastic population-based algorithm with competition was implemented and compared with standard gradient algorithm commonly used for least-squares estimates. The results show that this stochastic algorithm found the global minimum in most tasks where gradient algorithm fails. Such population-based algorithms can be used as a tool for estimation of non-linear regression parameters, especially in tasks of higher difficulty level or in tasks when suitable starting values for gradient method are not available.
Czech name
Robustní algoritmus pro odhad parametrů nelineárních regresních modleů
Czech description
Algoritmy pro odhad parametrů nelineárních modelů. Popsán stochastický algoritmus založený na soutěži lokálních heuristik´.

Project
<a href="/en/project/GA201%2F05%2F0284" target="_blank" >GA201/05/0284: Evolutionary algorithms with competing and cooperating heuristics</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2005
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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