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

Department of Electronics and Communication Engineering

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

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).

Original language	English
Pages (from-to)	2052-2053
Number of pages	2
Journal	Electronics Letters
Volume	30
Issue number	24
DOIs	https://doi.org/10.1049/el:19941401
Publication status	Published - 1994

Keywords

Genetic algorithms
Neural network
Optimisation

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10.1049/el:19941401

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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.",

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AU - Olmez, T.

AU - Yazgan, E.

AU - Ersoy, O. K.

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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

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U2 - 10.1049/el:19941401

DO - 10.1049/el:19941401

M3 - Article

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SN - 0013-5194

VL - 30

SP - 2052

EP - 2053

JO - Electronics Letters

JF - Electronics Letters

IS - 24

ER -

Optimised competitive feature vector network

Abstract

Keywords

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