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Bilgisayar Mühendisliği Bölümü
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Yazara göre Bilgisayar Mühendisliği Bölümü listeleme

Yazar "Kaya, Ebubekir" için Bilgisayar Mühendisliği Bölümü listeleme

Toplam kayıt 20, listelenen: 1-20

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 approach based to neural network and flower pollination algorithm to predict number of COVID-19 cases

Baştemur Kaya, Ceren; Kaya, Ebubekir (2021-10-30)

Flower Pollination Algorithm (FPA) is one of the popular heuristic algorithms that model pollination in the natural environment. Since 2012, it has been used in the solution of many difficult real world problems and ...
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 ...
A review on the studies employing artificial bee colony algorithm to solve combinatorial optimization problems

Kaya, Ebubekir; Görkemli, Beyza; Akay, Bahriye; Karaboğa, Derviş (2022-10)

The ABC algorithm is one of the popular optimization algorithms and has been used successfully in solving many real-world problems. Numeric, binary, integer, mixed integer and combinatorial optimization problems are among ...
A survey on the Artificial Bee Colony algorithm variants for binary, integer and mixed integer programming problems

Akay, Bahriye; Karaboğa, Derviş; Görkemli, Beyza; Kaya, Ebubekir (2021-07)

Most of the optimization problems encountered in the real world are discrete type which involves decision variables defined in the discrete search space. Binary optimization problems, integer and mixed integer programming ...
Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey

Karaboğa, Derviş; Kaya, Ebubekir (2018-01-03)

In the structure of ANFIS, there are two different parameter groups: premise and consequence. Training ANFIS means determination of these parameters using an optimization algorithm. In the first ANFIS model developed by ...
Altın fiyatının tahmini için ABC algoritması, PSO ve FPA kullanılarak yapay sinir ağının eğitimi

Kaya, Ebubekir (2022-10-17)

Altın fiyatının tahmini için kullanılan yapay zekâ tekniklerinden biri yapay sinir ağları (YSA)’dır. YSA ile başarılı modeller oluşturmak için başarılı bir eğitim süreci şarttır. Başarılı bir eğitim süreci için başarılı ...
An adaptive and hybrid artificial bee colony algorithm (aABC) for ANFIS training

Karaboğa, Derviş; Kaya, Ebubekir (2016-12)

In this study, we propose an Adaptive and Hybrid Artificial Bee Colony (aABC) algorithm to train ANFIS. Unlike the standard ABC algorithm, two new parameters are utilized in the solution search equation. These are arithmetic ...
COVID-19 vaka sayısını tahmin etmek için yapay sinir ağı eğitiminde ABC algoritmasının bazı varyantlarının performanslarının karşılaştırılması

Kaya, Ebubekir (2022-10-21)

Tüm dünyayı etkisi altına alan COVID-19 pandemisi hala etkisini göstermektedir. Birçok araştırmacı COVID-19 ile mücadele için farklı alanlarda çalışmalar yürütmeye devam etmektedir. COVID-19 vaka sayısının tahmin ...
Estimation of number of foreign visitors with ANFIS by using ABC algorithm

Karaboğa, Derviş; Kaya, Ebubekir (Springer, 2020)

ANFIS is an artificial intelligence technique which is composed of a combination of artificial neural networks and fuzzy inference system. Due to its structure, it is used in modeling and identifying numerous systems in ...
Evaluation of performance of adaptive and HybridABC (aABC) algorithm in solution of numerical optimization problems

Kaya, Ebubekir (2018-10-06)

Artificial bee colony (ABC) algorithm is a heuristic optimization algorithm that models food search behavior of the honey bees. It is used to solve many real-world problems and has been successful. In the literature, ...
İleri beslemeli yapay sinir ağının eğitiminde meta-sezgisel yaklaşımlar

Kaya, Ebubekir (2022-06)

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 sürecine ihtiyaç duyulmaktadır. ...
Konaklama işletmelerinde doluluk oranının tahmini için yapay arı koloni (abc) algoritması kullanarak ANFIS eğitimi

Kaya, Ebubekir (2016-10-01)

Bu çalışmada, konaklama işletmelerindeki doluluk oranının tahmini için ABC algoritması kullanılarak, ANFIS eğitimi gerçekleştirilmiştir. 1990 - 2014 yılları arasındaki tesis sayısı, yatak sayısı, konaklayan yabancı ...
Neural network training using flower pollination algorithm for bitcoin price prediction

Kaya, Ebubekir (2022-08-23)

One of the important uses of blockchain technology is cryptocurrencies. Interest in cryptocurrencies as a financial investment tool has increased recently. With the increasing interest, many cryptocurrencies have taken ...
On the performance of quick flower pollination algorithm (qfpa) in solving high-dimensional numerical optimization problems

Kaya, Ebubekir (2022-08-12)

Solving of numerical optimization problems is one of the important usage areas of metaheuristic optimization algorithms. The performance of many meta-heuristic algorithms is evaluated by using these problems. In order ...
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 ...
Training ANFIS by using an adaptive and hybrid artificial bee colony algorithm (aABC) for the identification of nonlinear static systems

Karaboğa, Derviş; Kaya, Ebubekir (2018-09-29)

Premise and consequent parameters of ANFIS are optimized by an optimization algorithm in its training process. A successful optimization algorithm should be utilized for an effective training process. In this study, an ...
Training ANFIS by using the artificial bee colony algorithm

Karaboğa, Derviş; Kaya, Ebubekir (2017-12)

In this study, a new adaptive network-based fuzzy inference system (ANFIS) training algorithm, the artificial bee colony (ABC) algorithm, is presented. Antecedent and conclusion parameters existing in the structure of ANFIS ...
Yüksek boyutlu nümerik optimizasyon problemlerinin çözümünde kelebek optimizasyon algoritmasının performansının değerlendirilmesi

Baştemur Kaya, Ceren; Kaya, Ebubekir (2022-10-26)

Kelebek optimizasyon algoritması, kelebeklerin yiyecek arama davranışını modelleyen güncel meta-sezgisel algoritmalardan biridir. Pek çok problemin çözümünde başarılı bir şekilde kullanıldığı literatürde görülmektedir. Bir ...

Toplam kayıt 20, listelenen: 1-20

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Yazar "Kaya, Ebubekir" için Bilgisayar Mühendisliği Bölümü listeleme

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