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RCIN and OZwRCIN projects

Object

Title: Genetic algorithms in learning methods of associative memory

Creator:

Wilbik, Anna

Date issued/created:

2004

Resource type:

Tekst

Subtitle:

Raport Badawczy = Research Report ; RB/29/2004

Publisher:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Place of publishing:

Warszawa

Description:

24 stron ; 21 cm ; Bibliografia s. 21-24

Abstract:

In this paper the Hopfield neural network model of associative memory that uses evolutionary approach as a learning method is analyzed. Several types of genetic algorithms will be investigated. In resulting networks quality measures (such as storage capacity, error correcting capabilities and the usage of additional knowledge) will be carefully examined. The basic criterion for algorithm’s evaluation is the storage capacity. The well-known Hebbian rule provides the capacity to be 15% of the number of the neurons. It has been shown that genetic algorithms allow us to improve this result.

Relation:

Raport Badawczy = Research Report

Detailed Resource Type:

Raport

Resource Identifier:

oai:rcin.org.pl:139584

Source:

RB-2004-29

Language:

eng

Language of abstract:

eng

Rights:

Licencja Creative Commons Uznanie autorstwa 4.0

Terms of use:

Zasób chroniony prawem autorskim. [CC BY 4.0 Międzynarodowe] Korzystanie dozwolone zgodnie z licencją Creative Commons Uznanie autorstwa 4.0, której pełne postanowienia dostępne są pod adresem: ; -

Digitizing institution:

Instytut Badań Systemowych Polskiej Akademii Nauk

Original in:

Biblioteka Instytutu Badań Systemowych PAN

Projects co-financed by:

Program Operacyjny Polska Cyfrowa, lata 2014-2020, Działanie 2.3 : Cyfrowa dostępność i użyteczność sektora publicznego; środki z Europejskiego Funduszu Rozwoju Regionalnego oraz współfinansowania krajowego z budżetu państwa

Access:

Otwarty

Object collections:

Last modified:

Oct 19, 2021

In our library since:

Sep 17, 2020

Number of object content downloads / hits:

34

All available object's versions:

https://rcin.org.pl./publication/175021

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