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Sonraki Sayfa

Yazılım kalite maliyetlerinin kontrol altında tutulması yoluyla proje geliştirme maliyetlerinin düşürülmesi: literatüre bir bakış

Yalçıner, Burcu; Yılmaz, Nebi; Dinçer, Kıvanç (UYMS, 2016)

Yazılım firmalarının çalıştıkları rekabetçi sektörde varlıklarını sürdürebilmeleri için, yazılım ürünlerini zamanında ve bütçesi dâhilinde tamamlamaları ve ürünün kalitesinin müşteri memnuniyetini sağlayabilmesi gerekmektedir. ...
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 ...
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 ...
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 ...
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 ...
Protein secondary structure prediction using support vector machine and hierarchical clustering

Atasever, Sema; Aydın, Zafer; Erbay, Hasan (2018-04-30)

Predicting the secondary structure from protein sequence plays a crucial role in predicting the 3D structure and understanding the function of proteins. As new genes and proteins are discovered the size of the protein ...
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 ...
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, ...
Sample reduction strategies for protein secondary structure prediction

Mostafa Sabzekar; Hasan Erbay; Zafer Aydın; Sema Atasever; Atasever, Sema (MDPI, 2019-10-18)

Predicting the secondary structure from protein sequence plays a crucial role in estimating the 3D structure, which has applications in drug design and in understanding the function of proteins. As new genes and proteins ...
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 ...
Analysis of network logs in terms of demographic and cyber antropology

Azgınoğlu, Nuh; Atasever, Sema; İlhan, Kürşat (2020-10-15)

With the advancement of technology, concepts such as cyber and digital anthropology concepts have started to emerge besides forensic anthropology. With these concepts emerging with changing and developing today's technology, ...
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 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 ...
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 comparison of image fusion quality metrics

Bendeş, Emre (EurasianSciEnTech 2021, 2021-12-15)

Measuring the fitness of the fused image plays a key role in image fusion applications. For a learning process performed in a machine learning algorithm, the result of the fusion should be evaluated numerically. In ...
Adaptif görüntü birleştirme kuralı belirleme yöntemi ve Levenberg-Marquardt algoritması ile optimizasyonu

Bendeş, Emre (GÜVEN PLUS GRUP DANIŞMANLIK A.Ş. YAYINLARI, 2022-02-10)

Görüntü birleştirme uygulamaları aynı sahnenin faklı görüntülerinin birleştirilerek daha anlamlı tek görüntü elde etme işlemidir. Bu işlemler gizlenmiş silah tespiti, artırılmış gece görüşü, biyomedikal uygulamalar ve çok ...
Columbarium tombs of the koramaz valley

Yazlık, Bilgin (Speleology and spelestology, 2022-04-27)

Kayseri, established on the foothills of Mount Erciyes, is an important city located in the area that can be regarded as the central point of Anatolia. From the time of Kanesh’s settlement until today, Kayseri has always ...
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 ...
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. ...
Gereme’de bulunan roma dönemine ait Anadolu’nun ilk biyodinamik tarım takvimi

Yazlık, Bilgin (Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi, 2022-06-01)

Kayseri, Roma egemenliğinden önce dört yüz bin nüfusa sahip oldukça büyük ve önemli bir şehirdir. Şehir, MS 17 tarihinde Roma İmparatorluğu’nun bir kenti haline gelmiştir ve Roma egemenliği 395 yılına kadar devam etmiştir. ...