Detail publikačního výsledku

Sparse Distributed Memory -- Pattern Data Analysis

GREBENÍČEK, F.

Originální název

Sparse Distributed Memory -- Pattern Data Analysis

Anglický název

Sparse Distributed Memory -- Pattern Data Analysis

Druh

Stať ve sborníku mimo WoS a Scopus

Originální abstrakt

This paper discusses, how some statistical properties of pattern datacan affect efficiency of Kanerva's Sparse Distributed Memory (SDM).Then, it suggests an method which should improve SDM efficiency. Themethod looks for optimal SDM parameters according to properties ofpattern data. Results of simple experiment are included.

Anglický abstrakt

This paper discusses, how some statistical properties of pattern datacan affect efficiency of Kanerva's Sparse Distributed Memory (SDM).Then, it suggests an method which should improve SDM efficiency. Themethod looks for optimal SDM parameters according to properties ofpattern data. Results of simple experiment are included.

Klíčová slova

Sparse Distributed Memory; neural network; pattern recognition

Klíčová slova v angličtině

Sparse Distributed Memory; neural network; pattern recognition

Autoři

GREBENÍČEK, F.

Vydáno

01.01.2000

Nakladatel

Marq software s.r.o.

Místo

Rožnov pod Radhoštěm

ISBN

80-85988-44-5

Kniha

MOSIS 2000 Proceedings

Strany od

165

Strany do

170

Strany počet

6

URL

http://www.fee.vutbr.cz/~grebenic/Publikace/mosis2000.pdf

BibTex

@inproceedings{BUT192153,
  author="František {Grebeníček}",
  title="Sparse Distributed Memory -- Pattern Data Analysis",
  booktitle="MOSIS 2000 Proceedings",
  year="2000",
  pages="165--170",
  publisher="Marq software s.r.o.",
  address="Rožnov pod Radhoštěm",
  isbn="80-85988-44-5",
  url="http://www.fee.vutbr.cz/~grebenic/Publikace/mosis2000.pdf"
}