Eren Bas

Orcid: 0000-0002-0263-8804

According to our database1, Eren Bas authored at least 34 papers between 2014 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
A hybrid deep recurrent artificial neural network with a simple exponential smoothing feedback mechanism.
Inf. Sci., 2025

2024
A new deep neural network for forecasting: Deep dendritic artificial neural network.
Artif. Intell. Rev., July, 2024

Robust training of median dendritic artificial neural networks for time series forecasting.
Expert Syst. Appl., March, 2024

2023
Robust intuitionistic fuzzy regression functions approaches.
Inf. Sci., August, 2023

Statistical learning algorithms for dendritic neuron model artificial neural network based on sine cosine algorithm.
Inf. Sci., June, 2023

A new genetic algorithm method based on statistical-based replacement for the training of multiplicative neuron model artificial neural networks.
J. Supercomput., May, 2023

A Robust Learning Algorithm Based on Particle Swarm Optimization for Pi-Sigma Artificial Neural Networks.
Big Data, April, 2023

A new explainable robust high-order intuitionistic fuzzy time-series method.
Soft Comput., February, 2023

A new hybrid recurrent artificial neural network for time series forecasting.
Neural Comput. Appl., 2023

2022
Recurrent dendritic neuron model artificial neural network for time series forecasting.
Inf. Sci., 2022

A fuzzy regression functions approach based on Gustafson-Kessel clustering algorithm.
Inf. Sci., 2022

Robust fuzzy regression functions approaches.
Inf. Sci., 2022

A novel intuitionistic fuzzy time series method based on bootstrapped combined pi-sigma artificial neural network.
Eng. Appl. Artif. Intell., 2022

Multivariate intuitionistic fuzzy inference system for stock market prediction: The cases of Istanbul and Taiwan.
Appl. Soft Comput., 2022

2021
A new deep intuitionistic fuzzy time series forecasting method based on long short-term memory.
J. Supercomput., 2021

An adaptive forecast combination approach based on meta intuitionistic fuzzy functions.
J. Intell. Fuzzy Syst., 2021

Probabilistic forecasting, linearity and nonlinearity hypothesis tests with bootstrapped linear and nonlinear artificial neural network.
J. Exp. Theor. Artif. Intell., 2021

2020
A new intuitionistic fuzzy functions approach based on hesitation margin for time-series prediction.
Soft Comput., 2020

A new fuzzy time series method based on an ARMA-type recurrent Pi-Sigma artificial neural network.
Soft Comput., 2020

Picture fuzzy regression functions approach for financial time series based on ridge regression and genetic algorithm.
J. Comput. Appl. Math., 2020

Picture fuzzy time series: Defining, modeling and creating a new forecasting method.
Eng. Appl. Artif. Intell., 2020

2019
Median-Pi artificial neural network for forecasting.
Neural Comput. Appl., 2019

Intuitionistic time series fuzzy inference system.
Eng. Appl. Artif. Intell., 2019

2018
Single Multiplicative Neuron Model Artificial Neural Network with Autoregressive Coefficient for Time Series Modelling.
Neural Process. Lett., 2018

A new fuzzy inference system for time series forecasting and obtaining the probabilistic forecasts via subsampling block bootstrap.
J. Intell. Fuzzy Syst., 2018

An ARMA Type Pi-Sigma Artificial Neural Network for Nonlinear Time Series Forecasting.
J. Artif. Intell. Soft Comput. Res., 2018

High order fuzzy time series method based on pi-sigma neural network.
Eng. Appl. Artif. Intell., 2018

2016
The Training Of Multiplicative Neuron Model Based Artificial Neural Networks With Differential Evolution Algorithm For Forecasting.
J. Artif. Intell. Soft Comput. Res., 2016

Robust learning algorithm for multiplicative neuron model artificial neural networks.
Expert Syst. Appl., 2016

2015
Recurrent Multiplicative Neuron Model Artificial Neural Network for Non-linear Time Series Forecasting.
Neural Process. Lett., 2015

Fuzzy-time-series network used to forecast linear and nonlinear time series.
Appl. Intell., 2015

2014
A fuzzy time series approach based on weights determined by the number of recurrences of fuzzy relations.
Swarm Evol. Comput., 2014

Fuzzy lagged variable selection in fuzzy time series with genetic algorithms.
Appl. Soft Comput., 2014

A modified genetic algorithm for forecasting fuzzy time series.
Appl. Intell., 2014


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