Detail publikace

Constructing Hierarchical Neural Nets Using Sparse Distributed Memory

GREBENÍČEK, F. Constructing Hierarchical Neural Nets Using Sparse Distributed Memory. ASIS 2000 Proceedings of the Colloquium. Sv. Hostýn, Bystřice pod Hostýnem: 2000. p. 359-364. ISBN: 80-85988-51-8.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Grebeníček František, Ing.
URL
Klíčová slova

Neural nets, associative memory, Sparse Distributed Memory, pattern recognition

Abstrakt

This paper discusses a possibility of the hierarchical neural netsconstruction using Kanerva's Sparse Distributed Memory (SDM). SDM is anassociative neural memory and can be used in visual patternrecognition. The paper introduces a hierarchical net for digitrecognition. Results of xperiment show notable properties of the net:insensivity to digit position and warping. Finally, a possiblemodification of Fukushima's Neocognitron is discussed.

Rok
2000
Strany
359–364
Sborník
ASIS 2000 Proceedings of the Colloquium
Konference
22nd International Colloquium ASIS 2000 Advanced Simulation of Systems, Sv. Hostýn, Bystřice pod Hostýnem, CZ
ISBN
80-85988-51-8
Místo
Sv. Hostýn, Bystřice pod Hostýnem
BibTeX 
@inproceedings{BUT192151,
  author="František {Grebeníček}",
  title="Constructing Hierarchical Neural Nets Using Sparse Distributed Memory",
  booktitle="ASIS 2000 Proceedings of the Colloquium",
  year="2000",
  pages="359--364",
  address="Sv. Hostýn, Bystřice pod Hostýnem",
  isbn="80-85988-51-8",
  url="http://www.fit.vutbr.cz/~grebenic/Publikace/asis2000.ps.zip"
}
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