Yazar "Memmedli, Memmedaga" için listeleme
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Analysis of international debt problem using artificial neural networks and statistical methods
Yazıcı, Berna; Memmedli, Memmedaga; Aslanargun, Atilla; Asma, Senay (Springer, 2010)It is known from the scientific researches that artificial neural networks are alternatives of statistical methods such as regression analysis and classification in recent years. Since multi-layer backpropagation neural ... -
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 ... -
An application of various nonparametric techniques by nonparametric regression splines
Memmedli, Memmedaga; Nizamitdinov, A. (2012)In this paper we made a comparison study between regression spline, penalized spline, and their Bayesian versions: adaptive Bayesian regression spline and Bayesian penalized spline with a different number of observations. ... -
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 ... -
Comparison Study on Smoothing Parameter and Sample Size in Nonparametric Fuzzy Local Polynomial Regression Models
Memmedli, Memmedaga; Yıldız, Münevvere (IEEE, 2012)In this paper, we considered the relationship between the smoothing parameter value and sample size as a simulation study in nonparametric fuzzy local polynomial regression. For this aim, we developed fuzzy version of ... -
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 ... -
Near optimal step size and momentum in gradient descent for quadratic functions
Taş, Engin; Memmedli, Memmedaga (Scientific Technical Research Council Turkey-Tubitak, 2017)Many problems in statistical estimation, classification, and regression can be cast as optimization problems. Gradient descent, which is one of the simplest and easy to implement multivariate optimization techniques, lies ... -
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 ... -
A simulation study with different number of observation using nonparametric regression splines
Memmedli, Memmedaga; Nizamitdinov, A. (2011)In this study we made a simulation study using various nonparametric techniques. The methods that we have used in this study are following: regression spline, penalized spline, and their Bayesian versions: adaptive Bayesian ...
