| An artificial neural network (p, d, q) model for timeseries forecasting M Khashei, M Bijari Expert Systems with applications 37 (1), 479-489, 2010 | 1128 | 2010 |
| A novel hybridization of artificial neural networks and ARIMA models for time series forecasting M Khashei, M Bijari Applied soft computing 11 (2), 2664-2675, 2011 | 999 | 2011 |
| Improvement of auto-regressive integrated moving average models using fuzzy logic and artificial neural networks (ANNs) M Khashei, M Bijari, GAR Ardali Neurocomputing 72 (4-6), 956-967, 2009 | 426 | 2009 |
| A new hybrid artificial neural networks and fuzzy regression model for time series forecasting M Khashei, SR Hejazi, M Bijari Fuzzy sets and systems 159 (7), 769-786, 2008 | 332 | 2008 |
| A novel hybrid algorithm for scheduling steel-making continuous casting production A Atighehchian, M Bijari, H Tarkesh Computers & Operations Research 36 (8), 2450-2461, 2009 | 182 | 2009 |
| A new class of hybrid models for time series forecasting M Khashei, M Bijari Expert Systems with Applications 39 (4), 4344-4357, 2012 | 152 | 2012 |
| Hybridization of autoregressive integrated moving average (ARIMA) with probabilistic neural networks (PNNs) M Khashei, M Bijari, GAR Ardali Computers & Industrial Engineering 63 (1), 37-45, 2012 | 144 | 2012 |
| A novel hybrid classification model of artificial neural networks and multiple linear regression models M Khashei, AZ Hamadani, M Bijari Expert Systems with Applications 39 (3), 2606-2620, 2012 | 143 | 2012 |
| Combining seasonal ARIMA models with computational intelligence techniques for time series forecasting M Khashei, M Bijari, SR Hejazi Soft computing 16, 1091-1105, 2012 | 111 | 2012 |
| A fuzzy intelligent approach to the classification problem in gene expression data analysis M Khashei, AZ Hamadani, M Bijari Knowledge-Based Systems 27, 465-474, 2012 | 72 | 2012 |
| A new hybrid methodology for nonlinear time series forecasting M Khashei, M Bijari Modelling and Simulation in Engineering 2011 (1), 379121, 2011 | 67 | 2011 |
| A hybrid probabilistic fuzzy ARIMA model for consumption forecasting in commodity markets S Torbat, M Khashei, M Bijari Economic Analysis and Policy 58, 22-31, 2018 | 62 | 2018 |
| Fuzzy artificial neural network (p, d, q) model for incomplete financial time series forecasting M Khashei, M Bijari Journal of Intelligent & Fuzzy Systems 26 (2), 831-845, 2014 | 61 | 2014 |
| Hybridization of the probabilistic neural networks with feed-forward neural networks for forecasting M Khashei, M Bijari Engineering Applications of Artificial Intelligence 25 (6), 1277-1288, 2012 | 47 | 2012 |
| Which methodology is better for combining linear and nonlinear models for time series forecasting? M Khashei, M Bijari Journal of Industrial and Systems Engineering 4 (4), 265-285, 2011 | 46 | 2011 |
| Effects of imperfect products on lot sizing with work in process inventory MR Barzoki, M Jahanbazi, M Bijari Applied Mathematics and Computation 217 (21), 8328-8336, 2011 | 42 | 2011 |
| Evaluation the efficiency of cuckoo optimization algorithm E Shadkam, M Bijari arXiv preprint arXiv:1405.2168, 2014 | 41 | 2014 |
| A bi‐level neural‐based fuzzy classification approach for credit scoring problems M Khashei, MT Rezvan, AZ Hamadani, M Bijari Complexity 18 (6), 46-57, 2013 | 41 | 2013 |
| Multi-objective simulation optimization for selection and determination of order quantity in supplier selection problem under uncertainty and quality criteria E Shadkam, M Bijari The international journal of advanced manufacturing technology 93, 161-173, 2017 | 38 | 2017 |
| Hybrid fuzzy auto-regressive integrated moving average (FARIMAH) model for forecasting the foreign exchange markets M Khashei, FM Rafiei, M Bijari International Journal of Computational Intelligence Systems 6 (5), 954-968, 2013 | 35 | 2013 |
Mehdi KhasheiAssistant Professor in industrial Engineering, Isfahan University of TechnologyEmail verificata su cc.iut.ac.ir