Browsing by Author "Özdemir, Özer"
Now showing items 1-19 of 19
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ANN forecasting models for ISE national-100 index
Özdemir, Özer; Aslanargun, A.; Asma, S. (Wayne State University, 2010)Prediction of the outputs of real world systems with accuracy and high speed is crucial in financial analysis due to its effects on worldwide economics. Because the inputs of the financial systems are timevarying functions, ... -
An application of fuzzy time series to improve ISE forecasting
Memmedli, Memmedaga; Özdemir, Özer (2010)The problem of fuzzy time series forecasting plays an important role in many scientific areas such as statistics and neural networks. While forecasting fuzzy time series, most of forecasting applications use the same length ... -
Aralık tip-2 bulanık analitik ağ süreci yöntemi ile bankaların hizmet kalitesi performansının değerlendirilmesi
Binici, Yonca (Anadolu Üniversitesi, 2016)Günümüz rekabet koşullarında gerek kişilerin gerekse şirketlerin birden fazla kriteri göz önüne alarak tercih etmeleri gereken seçenekler söz konusudur. Bu sebeple karar vericiler için süreci kolaylaştıran çok ölçütlü karar ... -
Bulanık kümeleme analizinde bulanık kümeleme algoritmalarının karşılaştırılması
Kaya, Aslı (Anadolu Üniversitesi, 2018)Kümeleme analizi, örneklerin özelliklerine dayanarak veri noktalarını gruplamak için kullanılan denetimsiz bir öğrenme tekniğidir. Son dönemlerde bu teknikler özellikle biyoinformatik, biyoistatistik, genetik gibi alanlarda ... -
C programming on waiting line systems
Özdemir, Özer (World Scientific And Engineering Acad And Soc, 2008)In this article, the particular queue will be a place where customers are waiting for service behind each other. For the purpose of this study, a simulation in C language is created in order to simulate the aforementioned ... -
A comparison study of forecasting financial fuzzy time series by artificial neural networks
Özdemir, Özer; Memmedli, M. (Vilnius Gediminas Technical University, 2010)Forecasting financial time series is an important area for various investors and business practices. Fuzzy time series models which have been successfully applied to handle nonlinear problems have become popular in recent ... -
Comparison study of P-spline and univariate additive model (CUBIC smoothing spline) in time-series prediction
Nizamitdinov, A.; Memmedli, M.; Özdemir, Özer (Vilnius Gediminas Technical University, 2010)Smoothing splines used in many nonparametric problems to make a good approximation for smoothed functions in recent years. It is discussed two nonparametric techniques called P-spline and univariate additive model (cubic ... -
A comparison study of performance measures and length of intervals in fuzzy time series by neural networks
Memmedli, Memmedaga; Özdemir, Özer (2009)Deciding length of intervals and choosing performance measures have important issues to forecast fuzzy time series. Many forecasting studies accept MSE(Mean squared error) for performance measure and use only one kind of ... -
A Comparison Study of Performance Measures and Length of Intervals in Fuzzy Time Series by Neural Networks
Memmedli, Memmedaga; Özdemir, Özer (World Scientific Publ Co Pte LTD, 2009)Deciding length of intervals and choosing performance measures have important issues to forecast fuzzy time series. Many forecasting studies accept MSE(Mean squared error) for performance measure and use only one kind of ... -
Dağılım ve sinir ağı tabanlı bulanık zaman serisi modelleri
Özdemir, Özer (Anadolu Üniversitesi, 2013)Bulanık zaman serisi yaklasımları genelde bulanıklastırma, bulanık ilişkiler belirleme ve durulastırma olmak üzere üç asamadan olusur. Bu çalısmada, tek değiskenli birinci dereceden sinir ağı tabanlı bulanık zaman serisi ... -
An empirical study of fuzzy approach with artificial neural network models
Memmedli, Memmedaga; Özdemir, Özer (2012)Time series forecasting based on fuzzy approach by using artificial neural networks is a significant topic in many scientific areas nowadays. Artificial neural network models are sufficient due to their abilities to solve ... -
Forecasting neural network-based fuzzy time series with different neural network models
Memmedli, Memmedaga; Özdemir, Özer (2011)Fuzzy approach and artificial neural networks become effective tool for researchers by forecasting fuzzy time series. The relation of these has advantage to improve forecasting performance especially in handling nonlinear ... -
K-Medoids and Fuzzy C-Means Algorithms for Clustering Co2 Emissions of Turkey and Other Oecd Countries
Özdemir, Özer; Kaya, A. (Corvinus University Budapest, 2018)One of the most fundamental problems of societies is environmental problems that have emerged as the result of human behaviors which can be summarized as "dominating nature" and "using nature carelessly". The main causes ... -
MLR and ANN models of significant wave height on the west coast of India
Asma, Senay; Sezer, Ahmet; Özdemir, Özer (Pergamon-Elsevier Science LTD, 2012)Multiple linear regression (MLR) and artificial neural network (ANN) models are used in the present work to describe the significant wave height off Goa, located in the west Indian coast. A comparison study was carried out ... -
Multiple Comparison of Age Groups in Bone Mineral Density under Heteroscedasticity
Sezer, Ahmet; Altan, Lale; Özdemir, Özer (Hindawi Publishing Corporation, 2015)Osteoporosis is a silent disease because individuals may not know that they have osteoporosis until their bones become so fragile. Bone mineral density (BMD) test helps to detect osteoporosis and determine the risk fractures. ... -
Optimization of interval length for neural network based fuzzy time series
Özdemir, Özer; Memmedli, M. (2012)Fuzzy time series models have become important in past decades with neural networks. Hence, this study aims to improve forecasting performance of neural network based fuzzy time series by using an optimization function to ... -
Optimization of Interval Length for Neural Network Based Fuzzy Time Series
Özdemir, Özer; Memmedli, Memmedaga (IEEE, 2012)Fuzzy time series models have become important in past decades with neural networks. Hence, this study aims to improve forecasting performance of neural network based fuzzy time series by using an optimization function to ... -
Statistical Inference Procedure By the Information-Based Test and Its Application in Marine Climatology
Sezer, Ahmet; Asma, Senay; Özdemir, Özer (Corvinus University Budapest, 2018)Objectives of ecological studies should drive all aspects of design. These objectives must include hypothesis testing and appropriate sample size. High level of unexplained variation is typical in many ecological studies ... -
Zaman serisi modellemesinde yapay sinir ağlarının kullanımı ve bir uygulama
Özdemir, Özer (Anadolu Üniversitesi, 2008)Bu tezde, zaman serisi modellemesinde yapay sinir ağlarının kullanımı incelenmiştir. Bu amaçla İstanbul Menkul Kıymetler Borsası (İMKB) Ulusal-100 endeksi bir zaman serisi olarak incelenmiştir. İlk olarak, bu zaman serisinin ...