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GREBENÍČEK, F.
Original Title
Constructing Hierarchical Neural Nets Using Sparse Distributed Memory
English Title
Type
Paper in proceedings outside WoS and Scopus
Original Abstract
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.
English abstract
Keywords
Neural nets, associative memory, Sparse Distributed Memory, pattern recognition
Key words in English
Authors
Released
01.01.2000
Publisher
Marq software s.r.o.
Location
Sv. Hostýn, Bystřice pod Hostýnem
ISBN
80-85988-51-8
Book
ASIS 2000 Proceedings of the Colloquium
Pages from
359
Pages to
364
Pages count
6
URL
http://www.fit.vutbr.cz/~grebenic/Publikace/asis2000.ps.zip
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", publisher="Marq software s.r.o.", address="Sv. Hostýn, Bystřice pod Hostýnem", isbn="80-85988-51-8", url="http://www.fit.vutbr.cz/~grebenic/Publikace/asis2000.ps.zip" }