Browsing by Author "Göknar, İzzet Cem"
Now showing items 1-20 of 43
-
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 ... -
ASD: çok amaçlı ayarlanabilir sınıflandırıcı devreler
Göknar, İzzet Cem; Minaei, Shahram; Yıldız, Merih; Deniz, Engin (TÜBİTAK, 2010-09)Çalışmada, ayarlanabilir sınıflandırıcı devreleri ve uygulama alanları incelenmiştir. AMS 0.35 μm CMOS prosesi ile, tasarlanan sınıflandırıcı bir tümdevrenin üretimi de yapılmıştır. Bu sınıflandırıcı devresinin kontrol ... -
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 ... -
CIM a current inverting metamutator and its application to universal filters among others
Minayi, Elham; Göknar, İzzet Cem (IEEE, 2017)A new kind of metamutator namely “Current Inverting Metamutator,” its realizations using different types of active blocks and some of its applications are given in this paper. As a classical application of the metamutator ... -
A CMOS classifier circuit using neural networks with novel architecture
Yıldız, Merih; Minaei, Shahram; Göknar, İzzet Cem (IEEE, 2007-11-05)In this letter, complementary metal–oxide–semiconductor (CMOS) implementation of a neural network (NN) classifier with several output levels and a different architecture is given. The proposed circuit operates in current ... -
CMOS realization of a quantized-output classifier circuit
Yıldız, Merih; Minaei, Shahram; Göknar, İzzet Cem (IEEE, 2006-12-10)In this paper a CMOS implementation of a multi-input data classifier with several output levels and a different architecture is presented. The proposed circuit operates in current-mode and can classify several types of ... -
Convergence of threshold networks using their dissipative system model
Şengör, Neslihan Serap; Göknar, İzzet Cem (John Wiley & Sons, 2000-05)A new dynamical energy system model representation is given for threshold networks. Inspired by the relation between stability and dissipativeness of dynamical systems, the convergence property of threshold networks is ... -
Current inverting metamutator, its implementation with a new single active device and applications
Minayi, Elham; Göknar, İzzet Cem (Springer, 2018)A new kind of metamutator, namely “Current Inverting Metamutator”, its realizations using different types of active blocks and some of its applications like voltage-mode universal biquadratic filter with three input and ... -
Current mode double threshold neuron activation function
Yıldız, Merih; Minaei, Shahram; Göknar, İzzet Cem (Springer, 2006-01)CMOS implementation of a new kind of neuron activation function with a current mode circuit is introduced. The proposed circuit can classify data separable with more complex boundaries than hyperplanes. SPICE simulation ... -
DU-TCC 1209: a CMOS IC classifier and its application to IRIS data
Yıldız, Merih; Göknar, İzzet Cem; Minaei, Shahram; Deniz, Engin (IEEE, 2011)A recently built IC which implements a CMOS tunable classifier circuit is introduced and test results of an application are presented. The classifier circuit parameters are determined for Iris data set with an algorithm ... -
Editörden: veda mesajı
Göknar, İzzet Cem (Doğuş Üniversitesi, 2014-12-15)Rektörün 1 Aralık 2014 günlü emektubuyla bu dergideki editörlük görevimizin sona erdiğini öğrenmiş bulunuyoruz. Bu göreve başladıktan bu güne 11 yılın geçmiş olması inandırıcıgözükmedi; gözükmedi çünkü editörler kurulu ... -
Equivalent circuit models in current-mode circuits for time delay calculations
Kurnaz, Melek; Minaei, Shahram; Göknar, İzzet Cem (Springer, 2014-10)In this paper time delay calculations for current-mode circuits are considered and equivalent circuit models for delay estimation are developed. Three different equivalent circuit structures for the Core Circuit used in ... -
A flexible current-mode classifier circuit and its applications
Yıldız, Merih; Minaei, Shahram; Göknar, İzzet Cem (Wiley, 2011)In this paper a new CMOS classifier circuit is presented, simulated, and compared with other recently introduced circuits. The proposed CMOS circuit operates in current-mode and can classify several types of data. The ... -
From packaging to fast timing simulators
Göknar, İzzet Cem (IEEE, 2003-05-11)When considering all the steps from packaging to verification of the design one is faced with many challenges ranging from the choice of the proper tools to model the device/interconnect physics, to high level simulations ... -
An intelligent balance
Göknar, İzzet Cem; Sevgi, Levent (IEEE, 2004-10)This paper discusses the intelligent balance, which has been established between real and virtual experiments and it also gives skills that have not covered in conventional electronics and communication engineering. ... -
Linear passive networks with ideal switches: consistent initial conditions and state discontinuities
Göknar, İzzet Cem; Frasca, Roberto; Çamlıbel, Mehmet Kanat; Iannelli, Luigi; Vasca, Francesco (IEEE, 2010-12-13)This paper studies linear passive electrical networks with ideal switches. We employ the so-called linear switched systems framework in which these circuits can be analyzed for any given switch configuration. After providing ... -
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 ... -
A low-power multilevel-output classifier circuit
Yıldız, Merih; Minaei, Shahram; Göknar, İzzet Cem (IEEE, 2007)A low power CMOS implementation of a multi-input data classifier with several output levels is presented. The proposed circuit operates in current-mode and can classify several types of analog vector data. An architecture ... -
Memstor, memstance simulations via a versatile 4-port built with new adder and subtractor circuits
Minaei, Shahram; Göknar, İzzet Cem; Yıldız, Merih; Yüce, Erkan (Taylor & Francis, 2015-07-24)In this paper, novel voltage-mode (VM) n-channel metal-oxide semiconductor (NMOS) transistor-based analogue adder and subtractor circuits, which, respectively, perform V1+V2 and V1−V2 operations, are presented. The most ... -
Metamutator applications: A quadrature MOS only oscillator and transconductance/transimpedance amplifiers
Göknar, İzzet Cem; Yıldız, Merih; Minaei, Shahram (Springer, 2016-12)NMOS based circuit realizations of a sinusoidal quadrature oscillator, a transconductance, a transimpedance amplifier are presented. All the circuits are constructed with a voltage-mode “Metamutator” consisting of an analog ...
