2020
DOI: 10.2339/politeknik.508773
|View full text |Cite
|
Sign up to set email alerts
|

Güç Kalitesi Bozulmalarının Hilbert-Huang Dönüşümü, Genetik Algoritma Ve Yapay Zeka/Makine Öğrenmesi Yöntemleri İle Sınıflandırılması

Abstract: Bu makaleye şu şekilde atıfta bulunabilirsiniz(To cite to this article): Karasu S. ve Saraç Z., "Güç kalitesi bozulmalarının hilbert-huang dönüşümü, genetik algoritma ve yapay zeka/makine öğrenmesi yöntemleri ile sınıflandırılması", Politeknik Dergisi, *(*): *, (*).

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
1
0
1

Year Published

2021
2021
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(2 citation statements)
references
References 34 publications
0
1
0
1
Order By: Relevance
“…Segmentation of medical images [27], reallocation of load balances of virtual machines between resources [28], has been used by GA, Higazy, and Alyami [29] to model another current problem, COVID-19 outbreak transmission. GA has also been used in optimization [30] and classification problems [31].…”
Section: Materials and Methods 21 Genetic Algorithmmentioning
confidence: 99%
“…Segmentation of medical images [27], reallocation of load balances of virtual machines between resources [28], has been used by GA, Higazy, and Alyami [29] to model another current problem, COVID-19 outbreak transmission. GA has also been used in optimization [30] and classification problems [31].…”
Section: Materials and Methods 21 Genetic Algorithmmentioning
confidence: 99%
“…Genetik Operatörler seçme (selection), çaprazlama (crossover) ve mutasyon (mutation)'dur. Mutasyon sayesinde genetik çeşitlilik artar [58]. Bu sayede daha çok çeşit ortaya çıkar.…”
Section: İlgi̇li̇ çAlişmalar [Related Studies]unclassified