Classification of ECG waveforms by using RCE neural network and genetic algorithms

T. Ölmez

doi:10.1049/el:19971019

Classification of ECG waveforms by using RCE neural network and genetic algorithms

T. Ölmez^*

^*Bu çalışma için yazışmadan sorumlu yazar

Elektronik ve Hab.Müh.Bölümü

Araştırma sonucu: Dergiye katkı › Makale › bilirkişi

13 Atıf (Scopus)

Özet

A modified restricted Coulomb energy (RCE) neural network is proposed for electrocardiogram (ECG) waveform classification. In the new algorithm, the locations of the centres of the hyperspheres are optimised in order to minimise the number of hyperspheres used and to improve classification performance. Optimisation is carried out with the genetic algorithm.

Orijinal dil	İngilizce
Sayfa (başlangıç-bitiş)	1561-1562
Sayfa sayısı	2
Dergi	Electronics Letters
Hacim	33
Basın numarası	18
DOI'lar	https://doi.org/10.1049/el:19971019
Yayın durumu	Yayınlandı - 28 Ağu 1997

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10.1049/el:19971019

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Alıntı Yap

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title = "Classification of ECG waveforms by using RCE neural network and genetic algorithms",

abstract = "A modified restricted Coulomb energy (RCE) neural network is proposed for electrocardiogram (ECG) waveform classification. In the new algorithm, the locations of the centres of the hyperspheres are optimised in order to minimise the number of hyperspheres used and to improve classification performance. Optimisation is carried out with the genetic algorithm.",

keywords = "Genetic algorithms, Neural networks, Pattern recognition",

author = "T. {\"O}lmez",

year = "1997",

month = aug,

day = "28",

doi = "10.1049/el:19971019",

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journal = "Electronics Letters",

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

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TY - JOUR

T1 - Classification of ECG waveforms by using RCE neural network and genetic algorithms

AU - Ölmez, T.

PY - 1997/8/28

Y1 - 1997/8/28

N2 - A modified restricted Coulomb energy (RCE) neural network is proposed for electrocardiogram (ECG) waveform classification. In the new algorithm, the locations of the centres of the hyperspheres are optimised in order to minimise the number of hyperspheres used and to improve classification performance. Optimisation is carried out with the genetic algorithm.

AB - A modified restricted Coulomb energy (RCE) neural network is proposed for electrocardiogram (ECG) waveform classification. In the new algorithm, the locations of the centres of the hyperspheres are optimised in order to minimise the number of hyperspheres used and to improve classification performance. Optimisation is carried out with the genetic algorithm.

KW - Genetic algorithms

KW - Neural networks

KW - Pattern recognition

UR - https://www.scopus.com/pages/publications/3042883022

U2 - 10.1049/el:19971019

DO - 10.1049/el:19971019

M3 - Article

AN - SCOPUS:3042883022

SN - 0013-5194

VL - 33

SP - 1561

EP - 1562

JO - Electronics Letters

JF - Electronics Letters

IS - 18

ER -

Classification of ECG waveforms by using RCE neural network and genetic algorithms

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