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Multiple regression, ANN (RBF, MLP) and ANFIS models for prediction of swell potential of clayey soils
Research highlights? The use of multiple regression (MR), artificial neural network (ANN) and artificial neuro-fuzzy inference system (ANFIS) models, for the prediction of swell percent of soils, wasExpand
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Forecasting of natural gas consumption with neural network and neuro fuzzy system
The prediction of natural gas consumption is crucial for Turkey which follows foreign-dependent policy in point of providing natural gas and whose stock capacity is only 5% of internal totalExpand
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Neural computing models for prediction of permeability coefficient of coarse-grained soils
Correlations are very significant from the earliest days; in some cases, it is essential as it is difficult to measure the amount directly, and in other cases it is desirable to ascertain the resultsExpand
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Intrusion detection with autoencoder based deep learning machine
In changing and constantly evolving information age, together with the developments in computer and internet technology, the production, digitization, storage and sharing of information has becomeExpand
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Feature selection methods in sentiment analaysis
In today's technology, people are starting to share their opinions, ideas and feelings through many mediums because the internet is used extensively by every segment. These shares have become anExpand
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ZAMAN SERİSİANALİZİNDE MLP YAPAY SİNİR AĞLARI VE ARIMA MODELİNİN KARŞILAŞTIRILMASI
Bu calismada zaman serisi analizinde yaygin olarak kullanilan Box-Jenkis modelleri ile ileri beslemeli yapay sinir aglarinin bir karsilastirmasi yapilmistir. Veri seti olarak aylik ve gunluk doviz Expand
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Ham Petrol Fiyatlarinin Yapay Sinir Aglari ile Tahmini
Ekonomide hemen her sektor, dogrudan ya da dolayli olarak petrole bagimlidir. Bu nedenle petrol piyasasinda ve dolayisiyla fiyatinda ortaya cikan degisiklikler, olusturduklari zincirleme reaksiyonlarExpand
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Soft Computing Approach in Modeling Energy Consumption
In this chapter, we build an intelligent model based on soft computing technologies to improve the prediction accuracy of Energy Consumption in Greece. The model is developed based on GeneticExpand
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Anomaly Detection Using Data Mining Methods in IT Systems: A Decision Support Application
Anomali tespiti uzerine cesitli calismalar olmasina ragmen, buyuk olcekli ag ortamlari icin uygun yaklasimlarin eksikligi nedeniyle basit ve etkili anormali tespit yaklasimlari hala gereklidir.Expand
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WIND SPEED FORECASTING USING REPTREE AND BAGGING METHODS IN KIRKLARELI-TURKEY
In this study, an analysis was performed by examining the wind power potential of Kirklareli province which is in the west of Turkey. Statistical data between 2001 and 2007 was used in this study.Expand
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