Learning and prediction of the nonlinear dynamics of biological neurons with support vector machines
- Author
- FRONTZEK, Thomas1 ; LAL, Thomas Navin1 ; ECKMILLER, Rolf1
[1] Department of Computer Science VI, University of Bonn, Römerstrasse 164, 53117 Bonn, Germany - 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 390-398 ; ref : 5 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)
- Apprentissage(intelligence artificielle) Biologie Fonction base radiale Processus Gauss Réseau neuronal Synapse Machine support vecteur
- Keyword (en)
- Learning (artificial intelligence) Biology Radial basis function Gaussian process Neural network Synapse Vector support machine
- Keyword (es)
- Biología Función radial base Proceso Gauss Red neuronal Sinapsis
- 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
- 14045222
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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DOI
10.1007/3-540-44668-0_55 
https://dx.doi.org/10.1007/3-540-44668-0_55
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