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An Efficient Hardware Architecture for a Neural Network Activation Function Generator

Author
LARKIN, Daniel1 ; KINANE, Andrew1 ; MURESAN, Valentin1 ; O'CONNOR, Noel1
[1] Centre for Digital Video Processing, Dublin City University, Dublin, Ireland
Conference title
Advances in neural networks (Part I-III : ISNN 2006 : Third International Symposium on Neural Networks, Chengdu, China, May 28-June 1, 2006 : proceedings)
Conference name
International Symposium on Neural Networks (3 ; Chengdu 2006)
Source

Lecture notes in computer science. 2006, pp 1293-1298, 6 p ; ref : 6 ref

ISSN
0302-9743
ISBN
3-540-34439-X
Scientific domain
Control theory, operational research; Computer science; Telecommunications
Publisher
Springer, Berlin / Springer, New York
Publication country
Germany
Document type
Conference Paper
Language
English
Keyword (fr)
Algorithme génétique Approximation spline Architecture circuit Architecture réseau Erreur approximation Fonction activation Méthode minimax Problème minimax Réseau neuronal Approximation fonction
Keyword (en)
Genetic algorithm Spline approximation Circuit architecture Network architecture Approximation error Activation function Minimax method Minimax problem Neural network Function approximation
Keyword (es)
Algoritmo genético Aproximación esplín Arquitectura circuito Arquitectura red Error aproximación Función actividad Método minimax Problema minimax Red neuronal Aproximación función
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
19953179

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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