Yazar "Aydin, D." için listeleme
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A comparative study of hybrid, neural networks and nonparametric regression models in time series prediction
Aydin, D.; Mammadov, M. (2009)This paper presents a comparative study of the hybrid models, neural networks and nonparametric regression models in time series forecasting. The components of these hybrid models are consisting of the nonparametric ... -
Comparison of Artificial Bee Colony algorithms on engineering problems
Artificial Bee Colony (ABC) algorithm is a swarm intelligence based recent optimization technique that mimics from real bee colonies. After the initial proposal of ABC, several variants of original algorithm have been ... -
Estimation in semi-parametric and additive regression using smoothing and regression spline
Aydin, D.; Tuzemen, M.S. (2010)In this paper, we try to investigate how the current account to gross domestic product (CAGDP) ratio in Turkey reacts to variations in the real effective exchange rate (REER) over the period of 1991:Q4-2007:Q3. For this ... -
Forecasting with the aid of hybrid models, combining neural networks and nonparametric regression models in time series
Mammadov, M.; Aydin, D. (Vilnius Gediminas Technical University, 2010)The goal of this article is to introduce the hybrid models that combine nonparametric regression and artificial neural networks. Smoothing spline, regression spline and additive regression models are considered as the ... -
Modified ridge type estimator in partially linear regression models and numerical comparisons
Aydin, D.; Yüzbaşi, B.; Ahmed, S.E. (American Scientific Publishers, 2016)In this article, we introduce a modified ridge type estimator for the vector of parameters in a partially linear model. This estimator is a generalization of the well-known Speckman's approach and is based on smoothing ...