Optimised competitive feature vector network

T. Olmez; E. Yazgan; O. K. Ersoy

doi:10.1049/el:19941401

Optimised competitive feature vector network

T. Olmez
, E. Yazgan
, O. K. Ersoy

Elektronik ve Hab.Müh.Bölümü

Araştırma sonucu: Dergiye katkı › Makale › bilirkişi

1 Atıf (Scopus)

Özet

A new, competitive, incremental network architecture is compared with learning vector quantisation (LVQ) and grow and learn (GAL) networks. Optimisation of the feature vectors in the new algorithm is currently implemented by a genetic algorithm (GA).

Orijinal dil	İngilizce
Sayfa (başlangıç-bitiş)	2052-2053
Sayfa sayısı	2
Dergi	Electronics Letters
Hacim	30
Basın numarası	24
DOI'lar	https://doi.org/10.1049/el:19941401
Yayın durumu	Yayınlandı - 1994

Belgeye Erişim

10.1049/el:19941401

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Link to publication in Scopus

Alıntı Yap

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title = "Optimised competitive feature vector network",

abstract = "A new, competitive, incremental network architecture is compared with learning vector quantisation (LVQ) and grow and learn (GAL) networks. Optimisation of the feature vectors in the new algorithm is currently implemented by a genetic algorithm (GA).",

keywords = "Genetic algorithms, Neural network, Optimisation",

author = "T. Olmez and E. Yazgan and Ersoy, \{O. K.\}",

year = "1994",

doi = "10.1049/el:19941401",

language = "English",

volume = "30",

pages = "2052--2053",

journal = "Electronics Letters",

issn = "0013-5194",

publisher = "John Wiley \& Sons Inc.",

number = "24",

}

TY - JOUR

T1 - Optimised competitive feature vector network

AU - Olmez, T.

AU - Yazgan, E.

AU - Ersoy, O. K.

PY - 1994

Y1 - 1994

N2 - A new, competitive, incremental network architecture is compared with learning vector quantisation (LVQ) and grow and learn (GAL) networks. Optimisation of the feature vectors in the new algorithm is currently implemented by a genetic algorithm (GA).

AB - A new, competitive, incremental network architecture is compared with learning vector quantisation (LVQ) and grow and learn (GAL) networks. Optimisation of the feature vectors in the new algorithm is currently implemented by a genetic algorithm (GA).

KW - Genetic algorithms

KW - Neural network

KW - Optimisation

UR - https://www.scopus.com/pages/publications/0028550786

U2 - 10.1049/el:19941401

DO - 10.1049/el:19941401

M3 - Article

AN - SCOPUS:0028550786

SN - 0013-5194

VL - 30

SP - 2052

EP - 2053

JO - Electronics Letters

JF - Electronics Letters

IS - 24

ER -

Optimised competitive feature vector network

Özet

Belgeye Erişim

Diğer Dosyalar ve Linkler

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