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Eren Bas

Showing results (1-10 of 9) with videos related to

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Network (Bristol, England)|February 24, 2022
A new automatic forecasting method based on a new input significancy test of a single multiplicative neuron model artificial neural networkErol Egrioglu, Eren Bas
Scientific Reports|December 30, 2025
A new automatic forecasting method based on explainable deep dendritic artificial neural networkEren Bas, Erol Egrioglu
Scientific Reports|June 16, 2026
Pythagorean fuzzy time series approach based on hybrid high-order artificial neural network for nonlinear time series forecastingOzge Gundogdu, Erol Egrioglu, Eren Bas
Scientific Reports|April 21, 2026
Forecasting Nasdaq stock exchange time series using an improved recurrent spiking Pi-Sigma artificial neural networkErol Egrioglu, Eren Bas, Gulsen Albayrak
Scientific Reports|April 2, 2026
Mixed order single variable intuitionistic fuzzy time series forecasting method based on a new artificial neural network and grey wolf optimization algorithmTuran Cansu, Eren Bas, Erol Egrioglu
Journal of Applied Statistics|June 16, 2022
Threshold single multiplicative neuron artificial neural networks for non-linear time series forecastingAsiye Nur Yildirim, Eren Bas, Erol Egrioglu
Big Data|October 31, 2022
A Robust Learning Algorithm Based on Particle Swarm Optimization for Pi-Sigma Artificial Neural NetworksEren Bas, Erol Egrioglu, Ufuk Yolcu, et al.
Scientific Reports|June 11, 2026
A novel approach for forecasting algal bloom: long short-term memory artificial neural network with exponential smoothing feedback optimized by the arithmetic mean algorithmHakan Isık, Erol Egrioglu, Eren Bas, et al.
Scientific Reports|May 8, 2026
A Sugeno-multiplicative neuron hybrid system trained by differential evolution algorithm for time series forecastingErol Egrioglu, Eren Bas, Asiye Nur Yıldırım, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Network (Bristol, England)|February 24, 2022
A new automatic forecasting method based on a new input significancy test of a single multiplicative neuron model artificial neural networkErol Egrioglu, Eren Bas
Scientific Reports|December 30, 2025
A new automatic forecasting method based on explainable deep dendritic artificial neural networkEren Bas, Erol Egrioglu
Scientific Reports|June 16, 2026
Pythagorean fuzzy time series approach based on hybrid high-order artificial neural network for nonlinear time series forecastingOzge Gundogdu, Erol Egrioglu, Eren Bas
Scientific Reports|April 21, 2026
Forecasting Nasdaq stock exchange time series using an improved recurrent spiking Pi-Sigma artificial neural networkErol Egrioglu, Eren Bas, Gulsen Albayrak
Scientific Reports|April 2, 2026
Mixed order single variable intuitionistic fuzzy time series forecasting method based on a new artificial neural network and grey wolf optimization algorithmTuran Cansu, Eren Bas, Erol Egrioglu
Journal of Applied Statistics|June 16, 2022
Threshold single multiplicative neuron artificial neural networks for non-linear time series forecastingAsiye Nur Yildirim, Eren Bas, Erol Egrioglu
Big Data|October 31, 2022
A Robust Learning Algorithm Based on Particle Swarm Optimization for Pi-Sigma Artificial Neural NetworksEren Bas, Erol Egrioglu, Ufuk Yolcu, et al.
Scientific Reports|June 11, 2026
A novel approach for forecasting algal bloom: long short-term memory artificial neural network with exponential smoothing feedback optimized by the arithmetic mean algorithmHakan Isık, Erol Egrioglu, Eren Bas, et al.
Scientific Reports|May 8, 2026
A Sugeno-multiplicative neuron hybrid system trained by differential evolution algorithm for time series forecastingErol Egrioglu, Eren Bas, Asiye Nur Yıldırım, et al.
Pageof 1