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Estimation of computational complexity of sensor accuracy improvement algorithm based on neural networks

Author
TURCHENKO, Volodymyr1 ; KOCHAN, Volodymyr1 ; SACHENKO, Anatoly1
[1] Institute of Computer Information Technologies, Temopil Academy of National Economy, 3 Peremoga Square, 46004, Ternopil, Ukraine
Conference title
Artificial neural networks (Vienna, 21-25 August 2001)
Conference name
ICANN 2001 : international conference on artificial neural networks (Vienna 2001-08-21)
Author (monograph)
Dorffner, Georg (Editor); Bischof, Horst (Editor); Hornik, Kurt (Editor)
Source

Lecture notes in computer science. 2001, pp 743-748 ; ref : 14 ref

ISSN
0302-9743
ISBN
3-540-42486-5
Scientific domain
Computer science
Publisher
Springer, Berlin
Publication country
Germany
Document type
Conference Paper
Language
English
Keyword (fr)
Capteur mesure Complexité algorithme Complexité calcul Mesure niveau Réseau neuronal Saisie donnée Système n niveaux Système réparti Traitement donnée
Keyword (en)
Measurement sensor Algorithm complexity Computational complexity Level measurement Neural network Data acquisition Multilevel system Distributed system Data processing
Keyword (es)
Captador medida Complejidad algoritmo Complejidad computación Medición nivel Red neuronal Toma dato Sistema n niveles Sistema repartido Tratamiento datos
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C06 Connectionism. Neural networks

Discipline
Computer science : theoretical automation and systems
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
14045085

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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