Browsing Makale Koleksiyonu by Author "Yıldırım, Eray"

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An unsupervised learning algorithm: application to the discrimination of seismic events and quarry blasts in the vicinity of Istanbul

Küyük, Hüseyin Serdar; Yıldırım, Eray; Doğan, Emrah; Horasan, Gündüz; Yıldırım, Engin (COPERNICUS GESELLSCHAFT MBH, 2011)

The results of the application of an unsupervised learning (neural network) approach comprising a Self Organizing Map (SOM), to distinguish micro-earthquakes from quarry blasts in the vicinity of Istanbul, Turkey, are ...
Application of k-means and Gaussian mixture model for classification of seismic activities in Istanbul

Küyük, Hüseyin Serdar; Yıldırım, Eray; Doğan, Emrah; Horasan, Gündüz (COPERNICUS GESELLSCHAFT MBH, 2012)

Two unsupervised pattern recognition algorithms, k-means, and Gaussian mixture model (GMM) analyses have been applied to classify seismic events in the vicinity of Istanbul. Earthquakes, which are occurring at different ...
Clustering Seismic Activities Using Linear and Nonlinear Discriminant Analysis

Küyük, Hüseyin Serdar; Yıldırım, Eray; Doğan, Emrah; Horasan, Gündüz (388 LIMO RD, WUHAN, CHINA MAINLAND 430074, PEOPLES R CHINA, 2014)

Identification and classification of different seismo-tectonic events with similar characteristics in a region of interest is one of the most important subjects in seismic hazard studies. In this study, linear and nonlinear ...
Discrimination of quarry blasts and earthquakes in the vicinity of Istanbul using soft computing techniques

Yıldırım, Eray; Gülbağ, Ali; Horasan, Gündüz; Doğan, Emrah; Yıldırım, Engin (PERGAMON-ELSEVIER SCIENCE LTD, 2011)

The purpose of this article is to demonstrate the use of feedforward neural networks (FFNNs), adaptive neural fuzzy inference systems (ANFIS), and probabilistic neural networks (PNNs) to discriminate between earthquakes ...
Modelling daily water level fluctuations of Lake Van (Eastern Turkey) using Artificial Neural Networks

Doğan, Emrah; Kocamaz, Uğur Erkin; Utkucu, Murat; Yıldırım, Eray (E SCHWEIZERBARTSCHE VERLAGSBUCHHANDLUNG, 2016)

In this paper, two different Artificial Neural Network (ANN) techniques, namely the Feed-Forward Neural Networks (FFNNs) and the Radial Basis Function Neural Networks (RBFNNs), are used for the prediction of the daily water ...