2023

Basım Aşamasında / Erken Görünüm
  • Egrioglu E, Bas E. 2023, Robust intuitionistic fuzzy regression functions approaches for forecasting, Information Science, Accepted Paper.
  • Doğru, F. Z., Arslan, O. Multivariate Skew Laplace Normal Distribution for Modeling Skewness and Heavy-tailedness in Multivariate Data Sets, Statistics and Its Interface, Just Accepted, (https://www.intlpress.com/site/pub/pages/journals/items/sii/_home/acceptedpapers/index.php) (SCIE).
  • Gul, H.H. 2023, Parameter estimation of the Lomax distribution using genetic algorithm based on the ranked set samples, Enterprise Information Systems, 2193153.
  • Bas, E; Egrioglu, E; Yolcu, U, A hybrid algorithm based on artificial bat and backpropagation algorithms for multiplicative neuron model artificial neural networks, Journal Of Ambient Intelligence And Humanized Computing, Early Access, 10.1007/s12652-020-01950-y. (SCI).
  • Bas, E., Egrioglu, E., 2022, A new recurrent pi-sigma artificial neural network inspired by exponential smoothing feedback mechanism, Journal of Forecasting,  Accepted Paper.
Basılmış Makaleler
  • Egrioglu, E., Bas, E., Karahasan, O.,2023, Winsorized dendritic neuron model artificial neural network and a robust training algorithm with Tukey’s biweight loss function based on particle swarm optimization, Granular Computing, 8, pages491–501 (2023).
  • Doğru, F.Z., Arslan, O. 2023. Variance-mean mixture of multivariate normal distribution and weighted gamma distribution: properties and applications. J. Korean Stat. Soc. 52, 185–222.
  • Gul Hasan H., Egrioglu E., Bas. E. 2023. Statistical learning algorithms for dendritic neuron model artificial neural network based on sine cosine algorithm. Information Sciences, 2023, 629, pp. 398–412.
  • Egrioglu E., Grosan C., Bas E. 2023. A new genetic algorithm method based on statistical-based replacement for the training of multiplicative neuron model artificial neural networks, Journal of Supercomputing, 2023, 79(7), pp. 7286–7304.
  • Egrioglu, E., Bas, E., Cansu, T., Kara, M.A. 2023. A new nonlinear causality test based on single multiplicative neuron model artificial neural network: a case study for Turkey’s macroeconomic indicators, Granular Computing, 2023, 8(2), pp. 391–396.
  • Chen, M.-Y., Thuraisingham, B., Egrioglu, E., Rubio, J.D.J., Introduction to the Special Issue on Smart Systems for Industry 4.0 and IoT, ACM Transactions on Management Information Systems, 2023, 13(4), 35.
  • Kocak, C., Egrioglu, E., Bas, E., A new explainable robust high-order intuitionistic fuzzy time-series method, Soft Computing, 2023, 27(3), pp. 1783–1796.
  • Egrioglu, E., Bas, E., A new hybrid recurrent artificial neural network for time series forecasting, Neural Computing and Applications, 2023, 35(3), pp. 2855–2865.
  • Egrioglu, E., Bas, E., Modified Pi Sigma artificial neural networks for forecasting, Granular Computing, 2023, 8(1), pp. 131–135.
  • Bas, E., Egrioglu, E., Tunc, T., Multivariate Picture Fuzzy Time Series: New Definitions and a New Forecasting Method Based on Pi-Sigma Artificial Neural Network, Computational Economics, 2023, 61(1), pp. 139–164.