Browsing by Author "Uçan, Osman Nuri"

Applications of CNN with trapezoidal activation function

Bilgili, Erdem; Göknar, İzzet Cem; Uçan, Osman Nuri (Springer, 2006-01)

This paper presents some applications of cellular neural network (CNN) scheme employing a new nonlinear activation function, called trapezoidal activation function (TAF). The new CNN structure can classify linearly ...

Cellular neural network with trapezoidal activation function

Bilgili, Erdem; Göknar, İzzet Cem; Uçan, Osman Nuri (John Wiley & Sons, 2005-09)

This paper presents a cellular neural network (CNN) scheme employing a new non-linear activation function, called trapezoidal activation function (TAF). The new CNN structure can classify linearly non-separable data points ...

Design and development of material and information flow for supply chains using genetic cellular networks

Ziarati, Martin; Stockton, David; Uçan, Osman Nuri; Bilgili, Erdem (Doğuş Üniversitesi, 2002-01-15)

In a recent paper by authors (Ziarati and Ucan, January 2001) a Back Propagation-Artificial Neural Network (BP-ANN) was adapted for predicting the required car parts quantities in a real and major auto parts supplier chain. ...

Developing a mechanism for learning in engineering environments

Ziarati, Martin; Stockton, David; Uçan, Osman Nuri (American Society for Engineering Education, 2002)

The concept of learning has invariably been related to a classroom environment and/or industrial seminars, workshops, etc. The recent development in Artificial Intelligence, particularly in Neural Network applications offer ...

Geriye yayılma algoritması kullanılarak yaprak desenlerinin sınıflandırılması

Bilgili, Erdem; Uçan, Osman Nuri (Doğuş Üniversitesi, 2001-07-15)

Bu çalışmada beş farklı bitki yaprağı kullanılarak, çok katmanlı yapay sinir ağı geriye yayılma algoritması ile eğitilmiştir. Eğitim işleminden sonra yapay sinir ağına tanıtılan her bir yaprak türünden 15 adet yaprak ...

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 ...

İlintili görüntülerin birleşik Markov rastgele alan ve gerçek - zamanlı uygulanabilir en - iyileme yaklaşımı

Uçan, Osman Nuri; Sağıroğlu, Mahmut Şamil (Doğuş Üniversitesi, 2002-01-15)

Bu makalede ilintili görüntülerin Markov Rastgele Alan (MRA) modeline dayalı birleşik uygulaması sunulmuş ve bu uygulamanın gerçek zamanlı kullanılabilirliği için bir en-iyileme yaklaşımı önerilmiştir. 'Beamforming' yöntemi ...

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 ...

Moving object detection using delayed - cellular neural network

Uçan, Osman Nuri; Ağırman, Lokman (Doğuş Üniversitesi, 2000-07-15)

In this paper, we have studied moving objects in 2-D images using Delayed Cellular Neural Network (DCNN). DCNN was first introduced in 1993. It is shown that for a network whose cells are specified, complete asymptotic ...

Optimisation of economic order quantity using neural networks approach

Ziarati, Martin; Uçan, Osman Nuri; Ziarati, Reza (Doğuş Üniversitesi, 2001-01-15)

In this paper, a Back Propagation-Artificial Neural Network (BP-ANN) has been adapted for predicting the required car parts quantities in a real and major auto parts supplier chain. The conventional approach to determine ...

Performance of gray scaled images using segmented cellular neural network - cellular neural network combined trellis coded quantization / modulation (SCNN - CNN CTCQ/TCM) approach over rician fading channel

Uçan, Osman Nuri; Özmen, Atilla (Doğuş Üniversitesi, 2000-01-15)

In this paper, Segmented Cellular Neural Network-Cellular Neural Network Combined Trellis Coded Quantization / Modulation (SCNN-CNN CTCQ/TCM) scheme is introduced. Here, a gray scaled image is lowered to 3 bit using our ...

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 ...