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Erol Egrioglu
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2020 – today
- 2025
- [j68]Ozlem Karahasan, Eren Bas, Erol Egrioglu:
A hybrid deep recurrent artificial neural network with a simple exponential smoothing feedback mechanism. Inf. Sci. 686: 121356 (2025) - 2024
- [j67]Erol Egrioglu, Eren Bas:
A new deep neural network for forecasting: Deep dendritic artificial neural network. Artif. Intell. Rev. 57(7): 171 (2024) - [j66]Eren Bas
, Erol Egrioglu, Turan Cansu:
Robust training of median dendritic artificial neural networks for time series forecasting. Expert Syst. Appl. 238(Part C): 122080 (2024) - [j65]Chia-Chen Chen, Patrick C. K. Hung, Erol Egrioglu, Dickson K. W. Chiu, Kevin K. W. Ho:
Guest editorial: Contemporary learning behaviors on mobile devices and social media - part II. Libr. Hi Tech 42(2): 381-391 (2024) - 2023
- [j64]Eren Bas, Erol Egrioglu, Ufuk Yolcu, Mu-Yen Chen
A Robust Learning Algorithm Based on Particle Swarm Optimization for Pi-Sigma Artificial Neural Networks. Big Data 11(2): 105-116 (2023) - [j63]Hasan Huseyin Gul, Erol Egrioglu, Eren Bas:
Statistical learning algorithms for dendritic neuron model artificial neural network based on sine cosine algorithm. Inf. Sci. 629: 398-412 (2023) - [j62]Erol Egrioglu, Eren Bas:
Robust intuitionistic fuzzy regression functions approaches. Inf. Sci. 638: 118992 (2023) - [j61]Chia-Chen Chen, Patrick C. K. Hung
Guest editorial: Contemporary learning behaviors on mobile devices and social media. Libr. Hi Tech 41(5): 1265-1274 (2023) - [j60]Erol Egrioglu, Eren Bas
A new hybrid recurrent artificial neural network for time series forecasting. Neural Comput. Appl. 35(3): 2855-2865 (2023) - [j59]Cem Kocak, Erol Egrioglu, Eren Bas:
A new explainable robust high-order intuitionistic fuzzy time-series method. Soft Comput. 27(3): 1783-1796 (2023) - [j58]Erol Egrioglu
A new genetic algorithm method based on statistical-based replacement for the training of multiplicative neuron model artificial neural networks. J. Supercomput. 79(7): 7286-7304 (2023) - 2022
- [j57]Ozge Cagcag Yolcu
Multivariate intuitionistic fuzzy inference system for stock market prediction: The cases of Istanbul and Taiwan. Appl. Soft Comput. 116: 108363 (2022) - [j56]Eren Bas
A novel intuitionistic fuzzy time series method based on bootstrapped combined pi-sigma artificial neural network. Eng. Appl. Artif. Intell. 114: 105030 (2022) - [j55]Mu-Yen Chen
Deep learning and intelligent system towards smart manufacturing. Enterp. Inf. Syst. 16(2): 189-192 (2022) - [j54]Eren Bas, Erol Egrioglu:
A fuzzy regression functions approach based on Gustafson-Kessel clustering algorithm. Inf. Sci. 592: 206-214 (2022) - [j53]Erol Egrioglu, Eren Bas, Mu-Yen Chen
Recurrent dendritic neuron model artificial neural network for time series forecasting. Inf. Sci. 607: 572-584 (2022) - [j52]Mu-Yen Chen
Editorial. Libr. Hi Tech 40(1): 1-2 (2022) - [j51]Mu-Yen Chen
Introduction to the Special Issue on Smart Systems for Industry 4.0 and IoT. ACM Trans. Manag. Inf. Syst. 13(4): 35:1-35:3 (2022) - 2021
- [j50]Mu-Yen Chen
Cloud & fog computing: intelligent applications. Enterp. Inf. Syst. 15(9): 1197-1199 (2021) - [j49]Ufuk Yolcu
Probabilistic forecasting, linearity and nonlinearity hypothesis tests with bootstrapped linear and nonlinear artificial neural network. J. Exp. Theor. Artif. Intell. 33(3): 383-404 (2021) - [j48]Nihat Tak
An adaptive forecast combination approach based on meta intuitionistic fuzzy functions. J. Intell. Fuzzy Syst. 40(5): 9567-9581 (2021) - [j47]Cem Kocak, Erol Egrioglu, Eren Bas:
A new deep intuitionistic fuzzy time series forecasting method based on long short-term memory. J. Supercomput. 77(6): 6178-6196 (2021) - 2020
- [j46]Busenur Kizilaslan
Intuitionistic fuzzy ridge regression functions. Commun. Stat. Simul. Comput. 49(3): 699-708 (2020) - [j45]Erol Egrioglu
Picture fuzzy time series: Defining, modeling and creating a new forecasting method. Eng. Appl. Artif. Intell. 88 (2020) - [j44]Eren Bas
Picture fuzzy regression functions approach for financial time series based on ridge regression and genetic algorithm. J. Comput. Appl. Math. 370 (2020) - [j43]Mu-Yen Chen
Informetrics on social network mining: research, policy and practice challenges. Libr. Hi Tech 38(2): 273-275 (2020) - [j42]Burcin Seyda Corba, Erol Egrioglu
AR-ARCH Type Artificial Neural Network for Forecasting. Neural Process. Lett. 51(1): 819-836 (2020) - [j41]Mu-Yen Chen
Deep learning: emerging trends, applications and research challenges. Soft Comput. 24(11): 7835-7838 (2020) - [j40]Ozge Cagcag Yolcu
A new intuitionistic fuzzy functions approach based on hesitation margin for time-series prediction. Soft Comput. 24(11): 8211-8222 (2020) - [j39]Cem Kocak, Ali Zafer Dalar
A new fuzzy time series method based on an ARMA-type recurrent Pi-Sigma artificial neural network. Soft Comput. 24(11): 8243-8252 (2020)
2010 – 2019
- 2019
- [j38]Erol Egrioglu
Intuitionistic time series fuzzy inference system. Eng. Appl. Artif. Intell. 82: 175-183 (2019) - [j37]Erol Egrioglu
Median-Pi artificial neural network for forecasting. Neural Comput. Appl. 31(1): 307-316 (2019) - 2018
- [j36]Nihat Tak
Recurrent type-1 fuzzy functions approach for time series forecasting. Appl. Intell. 48(1): 68-77 (2018) - [j35]Eren Bas
High order fuzzy time series method based on pi-sigma neural network. Eng. Appl. Artif. Intell. 72: 350-356 (2018) - [j34]Esra Akdeniz
An ARMA Type Pi-Sigma Artificial Neural Network for Nonlinear Time Series Forecasting. J. Artif. Intell. Soft Comput. Res. 8(2): 121-132 (2018) - [j33]Ufuk Yolcu
A new fuzzy inference system for time series forecasting and obtaining the probabilistic forecasts via subsampling block bootstrap. J. Intell. Fuzzy Syst. 35(2): 2349-2358 (2018) - [j32]Busenur Sarica, Erol Egrioglu
A new hybrid method for time series forecasting: AR-ANFIS. Neural Comput. Appl. 29(3): 749-760 (2018) - [j31]Ozge Cagcag Yolcu
Single Multiplicative Neuron Model Artificial Neural Network with Autoregressive Coefficient for Time Series Modelling. Neural Process. Lett. 47(3): 1133-1147 (2018) - 2016
- [j30]Eren Bas
Robust learning algorithm for multiplicative neuron model artificial neural networks. Expert Syst. Appl. 56: 80-88 (2016) - [j29]Çagdas Hakan Aladag
Type-1 fuzzy time series function method based on binary particle swarm optimisation. Int. J. Data Anal. Tech. Strateg. 8(1): 2-13 (2016) - [j28]Ozge Gundogdu, Erol Egrioglu
Multiplicative neuron model artificial neural network based on Gaussian activation function. Neural Comput. Appl. 27(4): 927-935 (2016) - [c1]Ufuk Yolcu
An ensemble of single multiplicative neuron models for probabilistic prediction. SSCI 2016: 1-8 - 2015
- [j27]Eren Bas
Fuzzy-time-series network used to forecast linear and nonlinear time series. Appl. Intell. 43(2): 343-355 (2015) - [j26]Erol Egrioglu
Recurrent Multiplicative Neuron Model Artificial Neural Network for Non-linear Time Series Forecasting. Neural Process. Lett. 41(2): 249-258 (2015) - 2014
- [j25]Eren Bas
A modified genetic algorithm for forecasting fuzzy time series. Appl. Intell. 41(2): 453-463 (2014) - [j24]Çagdas Hakan Aladag
Fuzzy lagged variable selection in fuzzy time series with genetic algorithms. Appl. Soft Comput. 22: 465-473 (2014) - [j23]Çagdas Hakan Aladag
A high order seasonal fuzzy time series model and application to international tourism demand of Turkey. J. Intell. Fuzzy Syst. 26(1): 295-302 (2014) - [j22]Ufuk Yolcu
An enhanced fuzzy time series forecasting method based on artificial bee colony. J. Intell. Fuzzy Syst. 26(6): 2627-2637 (2014) - [j21]Çagdas Hakan Aladag
Robust multilayer neural network based on median neuron model. Neural Comput. Appl. 24(3-4): 945-956 (2014) - [j20]Vedide Rezan Uslu, Eren Bas
A fuzzy time series approach based on weights determined by the number of recurrences of fuzzy relations. Swarm Evol. Comput. 15: 19-26 (2014) - 2013
- [j19]Ufuk Yolcu
A new linear & nonlinear artificial neural network model for time series forecasting. Decis. Support Syst. 54(3): 1340-1347 (2013) - [j18]Erol Egrioglu
Fuzzy time series forecasting with a novel hybrid approach combining fuzzy c-means and neural networks. Expert Syst. Appl. 40(3): 854-857 (2013) - [j17]Çagdas Hakan Aladag
A New Multiplicative Seasonal Neural Network Model Based on Particle Swarm Optimization. Neural Process. Lett. 37(3): 251-262 (2013) - 2012
- [j16]Erol Egrioglu
A New Time-Invariant Fuzzy Time Series Forecasting Method Based on Genetic Algorithm. Adv. Fuzzy Syst. 2012: 785709:1-785709:6 (2012) - [j15]Çagdas Hakan Aladag
A new time invariant fuzzy time series forecasting method based on particle swarm optimization. Appl. Soft Comput. 12(10): 3291-3299 (2012) - 2011
- [j14]N. Alp Erilli, Ufuk Yolcu
Determining the most proper number of cluster in fuzzy clustering by using artificial neural networks. Expert Syst. Appl. 38(3): 2248-2252 (2011) - [j13]Erol Egrioglu
Fuzzy time series forecasting method based on Gustafson-Kessel fuzzy clustering. Expert Syst. Appl. 38(8): 10355-10357 (2011) - [j12]Erol Egrioglu
A new approach based on the optimization of the length of intervals in fuzzy time series. J. Intell. Fuzzy Syst. 22(1): 15-19 (2011) - 2010
- [j11]Erol Egrioglu
Finding an optimal interval length in high order fuzzy time series. Expert Syst. Appl. 37(7): 5052-5055 (2010) - [j10]Erol Egrioglu
Bayesian model selection in ARFIMA models. Expert Syst. Appl. 37(12): 8359-8364 (2010) - [j9]Çagdas Hakan Aladag
Improving weighted information criterion by using optimization. J. Comput. Appl. Math. 233(10): 2683-2687 (2010) - [j8]Çagdas Hakan Aladag
A high order fuzzy time series forecasting model based on adaptive expectation and artificial neural networks. Math. Comput. Simul. 81(4): 875-882 (2010) - [j7]Çagdas Hakan Aladag
Forecast Combination by Using Artificial Neural Networks. Neural Process. Lett. 32(3): 269-276 (2010)
2000 – 2009
- 2009
- [j6]Çagdas Hakan Aladag
Forecasting nonlinear time series with a hybrid methodology. Appl. Math. Lett. 22(9): 1467-1470 (2009) - [j5]Ufuk Yolcu
A new approach for determining the length of intervals for fuzzy time series. Appl. Soft Comput. 9(2): 647-651 (2009) - [j4]Çagdas Hakan Aladag
Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations. Expert Syst. Appl. 36(3): 4228-4231 (2009) - [j3]Erol Egrioglu
A new hybrid approach based on SARIMA and partial high order bivariate fuzzy time series forecasting model. Expert Syst. Appl. 36(4): 7424-7434 (2009) - [j2]Erol Egrioglu
A new approach based on artificial neural networks for high order multivariate fuzzy time series. Expert Syst. Appl. 36(7): 10589-10594 (2009) - 2008
- [j1]Erol Egrioglu
A new model selection strategy in artificial neural networks. Appl. Math. Comput. 195(2): 591-597 (2008)
Coauthor Index
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last updated on 2024-09-15 00:44 CEST by the dblp team
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