The Selection of Patterns in Training Set for On-Line Neural Network Identification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F08%3APU76049" target="_blank" >RIV/00216305:26220/08:PU76049 - 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
The Selection of Patterns in Training Set for On-Line Neural Network Identification
Original language description
The on-line identification algorithms based on neural networks are widely used methods for system identification. As the identification is performed on-line, the number of measurements is increasing continuously, and thus the training set for neural network is growing. The problem is that the size of the training set is limited. This paper describes the novel method for training pattern selection. Presented method improves the performance and stability of the identification.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA102%2F06%2F1132" target="_blank" >GA102/06/1132: Softcomputing in Control</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
International Workshop Control and Information Technology IWCIT 2008
ISBN
80-7078-907-7
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
Neuveden
Place of publication
Neuveden
Event location
Gliwice
Event date
Sep 18, 2008
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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