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Application of the biologically inspired network for electroencephalogram analysis

Author
TAMOSIUNAITE, Minija1 ; PRACKEVICIENE, Erinija2
[1] Vytautas Magnus University, Department of Informatics, Vileikos 8, 3035 Kaunas, Lithuania
[2] Kaunas University of Technology, Department of Practical Informatics, Studentų 50, 3031 Kaunas, Lithuania
Conference title
Computational intelligence : theory and applications (Dortmund, 1-3 October 2001)
Conference name
Fuzzy days. International conference (7 ; Dortmund 2001-10-01)
Author (monograph)
Reusch, Bernd (Editor)
Source

Lecture notes in computer science. 2001, pp 18-27 ; ref : 23 ref

ISSN
0302-9743
ISBN
3-540-42732-5
Scientific domain
Computer science; General medicine general surgery; Telecommunications
Publisher
Springer, Berlin
Publication country
Germany
Document type
Conference Paper
Language
English
Keyword (fr)
Architecture réseau Electroencéphalographie Extraction forme Modèle régression Méthode biologique Régression linéaire Réseau neuronal
Keyword (en)
Network architecture Electroencephalography Pattern extraction Regression model Biological method Linear regression Neural network
Keyword (es)
Arquitectura red Electroencefalografía Extracción forma Modelo regresión Método biológico Regresión lineal Red neuronal
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
14044841

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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