Classification of flower species by using features extracted from the intersection of feature selection methods in convolutional neural network models

TOĞAÇAR MESUT, ERGEN BURHAN, CÖMERT ZAFER

Classification of flower species by using features extracted from the intersection of feature selection methods in convolutional neural network models

YAYIN ID:

6106871

KAPSAM AD:

Uluslararası

HAKEM TUR AD:

Hakemli

ENDEKS:

SCI-Expanded

MAKALE ADI:

Classification of flower species by using features extracted from the intersection of feature selection methods in convolutional neural network models

YAZAR ADI:

TOĞAÇAR MESUT, ERGEN BURHAN, CÖMERT ZAFER

DERGI ADI:

Measurement

YAYIN DILI ADI:

İngilizce

AY:

YIL:

2020

CILT:

158

SAYI:

ILK SAYFA:

107703

SON SAYFA:

ISSN:

0263-2241

ERISIM TURU AD:

Elektronik

ALAN BILGISI:

Mühendislik Temel Alanı>Bilgisayar Bilimleri ve Mühendisliği>Yapay Zeka>Yapay Öğrenme>Karar Destek Sistemleri

YAZAR ID:

4594223

GUNCELLEME TARIHI:

2023-01-10 17:06:17

MAKALE TURU AD:

Özgün Makale

ERISIM LINKI:

http://dx.doi.org/10.1016/j.measurement.2020.107703