A combined robust fuzzy time series method for prediction of time series OC Yolcu, HK Lam Neurocomputing 247, 87-101, 2017 | 61 | 2017 |
High order fuzzy time series forecasting method based on an intersection operation OC Yolcu, U Yolcu, E Egrioglu, CH Aladag Applied Mathematical Modelling 40 (19-20), 8750-8765, 2016 | 57 | 2016 |
Prediction of TAIEX based on hybrid fuzzy time series model with single optimization process OC Yolcu, F Alpaslan Applied Soft Computing 66, 18-33, 2018 | 52 | 2018 |
Identifying the maturity of co-compost of olive mill waste and natural mineral materials: Modelling via ANN and multi-objective optimization NA Dümenci, OC Yolcu, FA Temel, NG Turan Bioresource Technology 338, 125516, 2021 | 29 | 2021 |
Prediction and optimization of nitrogen losses in co-composting process by using a hybrid cascaded prediction model and genetic algorithm ET Kabak, OC Yolcu, FA Temel, NG Turan Chemical Engineering Journal 437, 135499, 2022 | 27 | 2022 |
Single multiplicative neuron model artificial neural network with autoregressive coefficient for time series modelling O Cagcag Yolcu, E Bas, E Egrioglu, U Yolcu Neural Processing Letters 47, 1133-1147, 2018 | 26 | 2018 |
A new intuitionistic fuzzy functions approach based on hesitation margin for time-series prediction O Cagcag Yolcu, E Bas, E Egrioglu, U Yolcu Soft Computing 24, 8211-8222, 2020 | 25 | 2020 |
A seasonal fuzzy time series forecasting method based on Gustafson-Kessel fuzzy clustering F Alpaslan, O Cagcag Journal of social and Economic Statistics 2 (1), 1-13, 2012 | 24 | 2012 |
A novel seasonal fuzzy time series method F Alpaslan, O Cagcag, CH Aladag, U Yolcu, E Egrioglu Hacettepe Journal of Mathematics and Statistics 41 (3), 375-385, 2012 | 23 | 2012 |
New hybrid predictive modeling principles for ammonium adsorption: The combination of Response Surface Methodology with feed-forward and Elman-Recurrent Neural Networks OC Yolcu, FA Temel, A Kuleyin Journal of Cleaner Production 311, 127688, 2021 | 20 | 2021 |
A multilayer perceptron-based prediction of ammonium adsorption on zeolite from landfill leachate: Batch and column studies FA Temel, ÖC Yolcu, A Kuleyin Journal of Hazardous Materials 410, 124670, 2021 | 20 | 2021 |
Probabilistic forecasting, linearity and nonlinearity hypothesis tests with bootstrapped linear and nonlinear artificial neural network U Yolcu, E Egrioglu, E Bas, OC Yolcu, AZ Dalar Journal of Experimental & Theoretical Artificial Intelligence 33 (3), 383-404, 2021 | 20 | 2021 |
A new fuzzy time series method based on an ARMA-type recurrent Pi-Sigma artificial neural network C Kocak, AZ Dalar, O Cagcag Yolcu, E Bas, E Egrioglu Soft Computing 24, 8243-8252, 2020 | 20 | 2020 |
Intuitionistic time series fuzzy inference system E Egrioglu, E Bas, OC Yolcu, U Yolcu Engineering Applications of Artificial Intelligence 82, 175-183, 2019 | 20 | 2019 |
Reduction of patient waiting time by simulations in Ondokuz Mayis University Medical Faculty, Department of Neurosurgery F Alpaslan, Ö Cağcağ, E Eğrioğlu Sci Res and Essays 6 (5), 1063-70, 2011 | 19 | 2011 |
Artificial intelligence and machine learning approaches in composting process: a review FA Temel, OC Yolcu, NG Turan Bioresource Technology 370, 128539, 2023 | 17 | 2023 |
A new CNN-based model for financial time series: TAIEX and FTSE stocks forecasting M Kirisci, O Cagcag Yolcu Neural Processing Letters 54 (4), 3357-3374, 2022 | 17 | 2022 |
A hybrid fuzzy time series approach based on fuzzy clustering and artificial neural network with single multiplicative neuron model O Cagcag Yolcu Mathematical Problems in Engineering 2013, 2013 | 16 | 2013 |
Modeling and optimization of process parameters in co-composting of tea waste and food waste: Radial basis function neural networks and genetic algorithm EC Yılmaz, FA Temel, OC Yolcu, NG Turan Bioresource Technology 363, 127910, 2022 | 15 | 2022 |
An enhanced fuzzy time series forecasting method based on artificial bee colony U Yolcu, O Cagcag, CH Aladag, E Egrioglu Journal of Intelligent & Fuzzy Systems 26 (6), 2627-2637, 2014 | 15 | 2014 |