Browsing by Author "Albora, Ali Muhittin"
Now showing items 1-6 of 6
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Gravity anomaly separation using 2 - D wavelet approach and average depth calculation
Albora, Ali Muhittin; Uçan, Osman Nuri (Doğuş Üniversitesi, 2001-01-15)In this paper, 2-D Multi-Resolution Analysis (MRA) is used to perform Discrete-Parameter Wavelet Transform (DPWT) and applied to gravity anomaly separation problem. The advantages of this method are that it introduces ... -
Localisation of archeological sites using multi-level cellular neural networks
Göknar, İzzet Cem; Bilgili, Erdem; Uçan, Osman Nuri; Albora, Ali Muhittin (International Institute of Informatics and Systemics, 2002-07-14)In this paper, a supervised algorithm, Mufti-Level Cellular Neural Network (ML-CNN) is introduced, developed and then applied to archeological ruins of the Hittite Empire in Turkey. ML-CNN is a stochastic image processing ... -
Potential anomaly separation and archeological site localization using genetically trained multi-level cellular neural networks
Bilgili, Erdem; Göknar, İzzet Cem; Albora, Ali Muhittin; Uçan, Osman Nuri (Electronics and Telecommunications Research Institute (ETRI), 2005-06)In this paper, a supervised algorithm for the evaluation of geophysical sites using a multi-level cellular neural network (ML-CNN) is introduced, developed, and applied to real data. ML-CNN is a stochastic image processing ... -
Potential anomaly separation using genetically trained multi-level cellular neural networks
Bilgili, Erdem; Uçan, Osman Nuri; Albora, Ali Muhittin; Göknar, İzzet Cem (IEEE, 2002-07-22)In this paper, multi-level genetic cellular neural networks (ML-GCNN) are applied to the geophysical problem of potential anomaly separation and satisfactory results are obtained, compared to classical deterministic ... -
Stability of CNN with trapezoidal activation function
Bilgili, Erdem; Göknar, İzzet Cem; Uçan, Osman Nuri; Albora, Ali Muhittin (Springer, 2005-09)This paper presents the stability conditions of cellular neural network (CNN) scheme employing a new nonlinear activation function, called trapezoidal activation function (TAF). The new CNN structure can classify linearly ... -
Yönlendirmeli filtreler yardımıyla Konya bölgesi civarındaki gömülü fayların tespiti
Albora, Ali Muhittin; Uçan, Osman Nuri; Özmen, Atilla (Doğuş Üniversitesi, 2003-01)Bu makalede, yönlendirmeli filtreler jeofizik verilerin değerlendirilmesinde kullanılmışlardır. Yönlendirmeli filtreler belirli bir doğrultuda band geçiren filtrelerdir. Yönlendirmeli filtreler de, giriş görüntüsündeki ...
