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Konu "Global optimization" için Fakülteler / Faculties listeleme

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

Kaya, Ebubekir (2022-05-09)

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. It is seen in the literature that ...
A new neural network training algorithm based on artificial bee colony algorithm for nonlinear system identification

Kaya, Ebubekir (2022-09-17)

Artificial neural networks (ANNs), one of the most important artificial intelligence techniques, are used extensively in modeling many types of problems. A successful training process is required to create effective models ...
A novel neural network training algorithm for the identification of nonlinear static systems: artificial bee colony algorithm based on effective scout bee stage

Kaya, Ebubekir; Baştemur Kaya, Ceren (2021-02-28)

In this study, a neural network-based approach is proposed for the identification of nonlinear static systems. A variant called ABCES (ABC Based on Effective Scout Bee Stage) is introduced for neural network training. Two ...
Quick flower pollination algorithm (QFPA) and its performance on neural network training

Kaya, Ebubekir (2022-06-25)

This study proposes a novel version of flower pollination algorithm (FPA) and it is called as quick flower pollination algorithm (QFPA). Two important changes are carried out to improve local and global search capability ...