V. R. Uslu

发表

The Portfolio Optimization Based on Sharp Performance Ratio

A. Z. Celenli Basaran, V. R. Uslu, 2019 .

Finding Optimal Value for the Shrinkage Parameter in Ridge Regression via Particle Swarm Optimization

V. R. Uslu, E. Egrioglu, E. Bas, 2014 .

Does the plasma vitamin D level affect the severity of infection in COVID-19 patients of different age groups?

V. R. Uslu, Dilek Güvenç, B. Avcı, 2022, Pamukkale Medical Journal.

A modified genetic algorithm for forecasting fuzzy time series

V. R. Uslu, U. Yolcu, E. Baş, 2014, Applied Intelligence.

A high order seasonal fuzzy time series model and application to international tourism demand of Turkey

Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu, 2014, J. Intell. Fuzzy Syst..

Advances in Time Series Forecasting

Erol Egrioglu, Cem Kadilar, Cagdas Hakan Aladag, 2012 .

A new hybrid approach based on SARIMA and partial high order bivariate fuzzy time series forecasting model

Erol Egrioglu, Ufuk Yolcu, Murat Alper Basaran, 2009, Expert Syst. Appl..

A new approach for determining the length of intervals for fuzzy time series

Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu, 2009, Appl. Soft Comput..

A fuzzy time series approach based on weights determined by the number of recurrences of fuzzy relations

Erol Egrioglu, Ufuk Yolcu, Eren Bas, 2014, Swarm Evol. Comput..

Time-series forecasting with a novel fuzzy time-series approach: an example for Istanbul stock market

Erol Egrioglu, Cagdas Hakan Aladag, Ufuk Yolcu, 2013 .

A new approach based on the optimization of the length of intervals in fuzzy time series

Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu, 2011, J. Intell. Fuzzy Syst..

Finding an optimal interval length in high order fuzzy time series

Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu, 2010, Expert Syst. Appl..

A new approach based on artificial neural networks for high order multivariate fuzzy time series

Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu, 2009, Expert Syst. Appl..

Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations

Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu, 2009, Expert Syst. Appl..

Fuzzy time series forecasting method based on Gustafson-Kessel fuzzy clustering

Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu, 2011, Expert Syst. Appl..

Robust learning algorithm for multiplicative neuron model artificial neural networks

Erol Egrioglu, Eren Bas, Vedide R. Uslu, 2016, Expert Syst. Appl..

Trends in Computer Science and Information Technology

V. R. Uslu, E. Eğrioğlu, Eren Baş, 2018 .

A NEW FUZZY TIME SERIES ANALYSIS APPROACH BY USING DIFFERENTIAL EVOLUTION ALGORITHM AND CHRONOLOGICALLY-DETERMINED WEIGHTS

Erol Egrioglu, Vedide Rezan Uslu, Ufuk Yolcu, 2013 .

A Fuzzy Time Series Analysis Approach by Using Differential Evolution Algorithm Based on the Number of Recurrences of Fuzzy Relations

Erol Egrioglu, Vedide Rezan Uslu, Ufuk Yolcu, 2013 .