Publication detail

Sparse Distributed Memory -- Pattern Data Analysis

GREBENÍČEK, F.

Original Title

Sparse Distributed Memory -- Pattern Data Analysis

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

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.

Keywords

Sparse Distributed Memory; neural network; pattern recognition

Authors

GREBENÍČEK, F.

Released

1. 1. 2000

Publisher

Marq software s.r.o.

Location

Rožnov pod Radhoštěm

ISBN

80-85988-44-5

Book

MOSIS 2000 Proceedings

Pages from

165

Pages to

170

Pages count

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"
}