Obiekt
Tytuł: Classifier-approximator modular neural network for accurate estimation of dynamic system parameters
Współtwórca:
Pedrycz, Witold - ed. ; Korbicz, Józef (1951- ) - ed.
Podtytuł:
Tytuł publikacji grupowej:
Abstract:
Principles of employing feedforward artificial neural networks for fast and robust estimation of dynamic system parameters are reviewed briefly. In this approach, the neural network approximates the mapping from the system observation space into the parameter space. It is pointed out that for the conventional neural network architectures the network size and time needed for its training increase quickly with the estimated parameter range and with the approximation accuracy level required. ; Moreover, due to the local minima effect, the training process is likely to become prematurely terminated. To overcome these difficulties, a modular neural network architecture is proposed which comprises classifier and approximator modules, both driven by the system under test observations. With this architecture, the domain of the mapping is partitioned into a number of nonoverlapping regions. ; The classifier makes a decision as to which predefined region the given observation vector belongs to. This information is then used to select an appropriate weight vector (and possibly the structure) of the approximator module, so as to minimise the parameter estimation error locally, within the region identified. A numerical example is presented to show that the proposed approach offers higher estimation accuracy and huge savings in time required for the training.
Wydawca:
Zielona Góra: Uniwersytet Zielonogórski
Identyfikator zasobu:
Strony:
Źródło:
AMCS, volume 6, number 3 (1996) ; kliknij tutaj, żeby przejść
Jezyk:
Prawa do dysponowania publikacją:
Biblioteka Uniwersytetu Zielonogórskiego
Kolekcje, do których przypisany jest obiekt:
- Repozytorium > Jednostki organizacyjne > Wydział Informatyki, Elektrotechniki i Automatyki
- Repozytorium > Typy utworów > Artykuły
- Repozytorium > Czasopisma naukowe i serie wydawnicze UZ > International Journal of Applied Mathematics and Computer Science (AMCS)
- Repozytorium > Czasopisma naukowe i serie wydawnicze UZ > International Journal of Applied Mathematics and Computer Science (AMCS) > International Journal of Applied Mathematics and Computer Science (AMCS) (1996)
Data ostatniej modyfikacji:
2024-11-05
Data dodania obiektu:
2020-11-17
Liczba wyświetleń treści obiektu:
47
Wszystkie dostępne wersje tego obiektu:
https://zbc.uz.zgora.pl/repozytorium/publication/64459
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Wyświetl opis w formacie OAI-PMH:
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International Journal of Applied Mathematics and Computer Science (AMCS)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 24 (2014)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 23 (2013)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 22 (2012)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 21 (2011)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 20 (2010)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 19 (2009)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 18 (2008)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 17 (2007)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 16 (2006)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 15 (2005)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 6 (1996)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 6, number 2 (1996)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 6, number 3 (1996)
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| Nazwa wydania | Data |
|---|---|
| Classifier-approximator modular neural network for accurate estimation of dynamic system parameters | 2024-11-05 |
