A comprehensive comparison of the performance of metaheuristic algorithms in neural network training for nonlinear system identification

E Kaya - Mathematics, 2022 - mdpi.com
Many problems in daily life exhibit nonlinear behavior. Therefore, it is important to solve
nonlinear problems. These problems are complex and difficult due to their nonlinear nature …

Research on the clothing classification of the she ethnic group in different regions based on FPA-CNN

X Ding, T Li, J Chen, L Ma, F Zou - Applied Sciences, 2023 - mdpi.com
In order to achieve the effective computer recognition of the She ethnic clothing from
different regions through the extraction of color features, this paper proposes a She ethnic …

A novel local feature generation technique based sound classification method for covid-19 detection using lung breathing sound

T Tuncer, E Akbal, E Aydemir… - European Journal of …, 2021 - dergipark.org.tr
Lung breathing sounds have been used to diagnose many diseases, including Covid-19.
Nowadays, Covid-19 has affected daily life worldwide, and it has caused a global pandemic …

On Performance of Marine Predators Algorithm in Training of Feed-Forward Neural Network for Identification of Nonlinear Systems

C Baştemur Kaya - Symmetry, 2023 - mdpi.com
Artificial neural networks (ANNs) are used to solve many problems, such as modeling,
identification, prediction, and classification. The success of ANN is directly related to the …

While Covid-19 Outbreak Affects Economies and Societies; Exploring The Energy Demand in Turkey

HH Coban - European Journal of Technique (EJT), 2021 - dergipark.org.tr
The fear and panic environment created by the Coronavirus infectious disease 2019 (COVID-
19), which affects the whole world, deeply affects the market mechanisms and causes …

A Forecasting Study of Covid-19 Epidemic: Turkey Case

OF Gurcan, OF Beyca, U Atici, O Er - International Conference on …, 2022 - Springer
Abstract The Coronavirus (Covid-19) is an infectious disease and has spread over the 170
countries. The pandemic brings new challenges to the research community. Many measures …

İleri beslemeli yapay sinir ağının eğitiminde meta-sezgisel yaklaşımlar

E Kaya - Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve …, 2022 - dergipark.org.tr
Sistem kimliklendirme ve modelleme için en yaygın kullanılan yapay zekâ tekniklerinden biri
yapay sinir ağlarıdır. Yapay sinir ağları ile etkili sonuçlar elde etmek için etkili bir eğitim …

High-order neural network based on a hybrid firefly flower pollination algorithm

R Qu, Y Liu, Q Dong, J Zhao, M Li… - … Science Technology and …, 2024 - ojs.as-pub.com
Pi Sigma neural network is a kind of high-order feedforward neural network, which is
characterized by fast convergence speed and strong nonlinear mapping ability. However, for …

COVID-19 vaka sayısını tahmin etmek için yapay sinir ağı eğitiminde ABC algoritmasının bazı varyantlarının performanslarının karşılaştırılması

E Kaya - 2022 - acikerisim.nevsehir.edu.tr
Tüm dünyayı etkisi altına alan COVID-19 pandemisi hala etkisini göstermektedir. Birçok
araştırmacı COVID-19 ile mücadele için farklı alanlarda çalışmalar yürütmeye devam …

A Forecasting Study of Covid-19 Epidemic: Turkey Case

O Er - Intelligent and Fuzzy Systems: Digital Acceleration and …, 2022 - books.google.com
The Coronavirus (Covid-19) is an infectious disease and has spread over the 170 countries.
The pandemic brings new challenges to the research community. Many measures are taken …