Bu çalışmada makine öğrenmesi teknikleri ve konvolüsyonel sinir ağları (KSA) tabanlı bir derin öğrenme modeli kullanılarak iki farklı Türkçe metin veri kümesi sınıflandırılmıştır. Metin sınıflandırma çalışmasında Rastgele Orman (RO), Naive Bayes (NB), Destek Vektör Makineleri (DVM), K-En Yakın Komşu (KNN) Algoritmaları geliştirilen KSA seçilen kümelerine uygulanmıştır. dilinde kümeleri, sınıf a...

Mikroplar insan vücudunun hem içinde de dışında yaşayan ve hemen her yerde bulunan tek hücreli küçük canlılardır. Zararlı olabileceği gibi zararı olmayan mikroplarda bulunmaktadır. Bu yüzden mikroplar ekolojik dengenin sağlanmasında büyük bir rol üstlenmektedir. Ancak, bu mikropları birbirinden ayırt edebilmek çoğu zaman meşakkatli iş olmaktadır. Mikropların çeşitli özelliklerini anlayan takson...

Partly due to a growing interest in direct marketing, it has become an important application field for data mining. Many techniques have been applied to select the targets in commercial applications, such as statistical regression, regression trees, neural computing, fuzzy clustering and association rules. Modeling of charity donations has also recently been considered. The availability of a la...

This paper proposes using computational learning theory (CLT) as a framework for analyzing the information processing behavior of firms; we argue that firms can be viewed as learning algorithms. The costs and benefits of processing information are linked to the structure of the firm and its relationship with the environment. We model the firm as a type of artificial neural network (ANN). By a s...

The group method of data handling (GMDH) and differential evolution (DE) population-based algorithm are two well-known nonlinear methods of mathematical modeling. In this paper, both methods are explained and a new design methodology which is a hybrid of GMDH and DE is proposed. The proposed method constructs a GMDH network model of a population of promising DE solutions. The new hybrid impleme...

Physical fatigue is not only an indication of the user’s physical condition and/or need for sleep or rest, but can also be a significant symptom various diseases. This affects performance workers in jobs that involve some continuous activity, and cause large proportion accidents at work. The commonly measured by perceived exertion (RPE). Many previous studies have attempted to continuously moni...