| Developing a local least-squares support vector machines-based neuro-fuzzy model for nonlinear and chaotic time series prediction A Miranian, M Abdollahzade IEEE Transactions on Neural Networks and Learning Systems 24 (2), 207-218, 2012 | 177 | 2012 |
| A locally linear neuro-fuzzy model for supplier selection in cosmetics industry B Vahdani, SH Iranmanesh, SM Mousavi, M Abdollahzade Applied Mathematical Modelling 36 (10), 4714-4727, 2012 | 117 | 2012 |
| A new hybrid enhanced local linear neuro-fuzzy model based on the optimized singular spectrum analysis and its application for nonlinear and chaotic time series forecasting M Abdollahzade, A Miranian, H Hassani, H Iranmanesh Information Sciences 295, 107-125, 2015 | 108 | 2015 |
| Day‐ahead electricity price analysis and forecasting by singular spectrum analysis A Miranian, M Abdollahzade, H Hassani IET Generation, Transmission & Distribution 7 (4), 337-346, 2013 | 64 | 2013 |
| Mid-term energy demand forecasting by hybrid neuro-fuzzy models H Iranmanesh, M Abdollahzade, A Miranian Energies 5 (1), 1-21, 2011 | 37 | 2011 |
| GA based optimized LS-SVM forecasting of short term electricity price in competitive power markets MJ Mahjoob, M Abdollahzade, R Zarringhalam 2008 3rd IEEE Conference on Industrial Electronics and Applications, 73-78, 2008 | 32 | 2008 |
| An intelligent model for cost prediction in new product development projects SM Mousavi, B Vahdani, M Abdollahzade Journal of Intelligent & Fuzzy Systems 29 (5), 2047-2057, 2015 | 21 | 2015 |
| Data-driven lossy tube-load modeling of arterial tree: in-human study M Abdollahzade, CS Kim, N Fazeli, BA Finegan, M Sean McMurtry, ... Journal of biomechanical engineering 136 (10), 101011, 2014 | 21 | 2014 |
| hierarchical alpha-cut fuzzy C-means, fuzzy ARTMAP and cox regression model for customer churn prediction M Mohammadi, SH Iranmanesh, R Tavakkoli-Moghaddam, ... International journal of engineering-TRANSACTIONS C: aspects 27 (9), 1405, 2014 | 19 | 2014 |
| Locally linear neuro-fuzzy (LLNF) electricity price forecasting in deregulated power markets M Abdollahzade, M Mahjoob, R Zaringhalam, A Miranian International Journal of Innovative Computing, Information and Control 6 (9 …, 2010 | 19 | 2010 |
| Financial management of Public Private Partnership projects using artificial intelligence and fuzzy model A Sharafi, H Iranmanesh, MS Amalnick, M Abdollahzade International journal of energy and statistics 4 (02), 1650007, 2016 | 18 | 2016 |
| A self-similar local neuro-fuzzy model for short-term demand forecasting H Hassani, M Abdollahzadeh, H Iranmanesh, A Miranian Journal of Systems Science and Complexity 27, 3-20, 2014 | 15 | 2014 |
| Application of emotional learning fuzzy inference systems and locally linear neuro-fuzzy models for prediction and simulation in dynamic systems M Abdollahzade, A Miranian, S Faraji 2012 IEEE International Conference on Fuzzy Systems, 1-8, 2012 | 15 | 2012 |
| Forecasting natural gas consumption using pso optimized least squares support vector machines H Iranmanesh, M Abdollahzade, A Miranian International Journal of Artificial Intelligence & Applications 2 (4), 49, 2011 | 12 | 2011 |
| Online modeling of real-world time series through evolving AR models A Kalhor, H Iranmanesh, M Abdollahzade 2012 IEEE International Conference on Fuzzy Systems, 1-6, 2012 | 10 | 2012 |
| Forecasting energy consumption using fuzzy transform and local linear neuro fuzzy models H Iranmanesh, M Abdollahzade, A Miranian International Journal on Soft Computing 2 (4), 11, 2011 | 9 | 2011 |
| A novel ICA-based clustering algorithm for heart arrhythmia diagnosis E Naseri, A Ghaffari, M Abdollahzade Pattern Analysis and Applications 22, 285-297, 2019 | 8 | 2019 |
| An adaptive framework to enhance microscopic traffic modelling: an online neuro-fuzzy approach R Kazemi, M Abdollahzade Proceedings of the Institution of Mechanical Engineers, Part D: Journal of …, 2016 | 8 | 2016 |
| Introducing an Evolving Local Neuro-Fuzzy Model–Application to modeling of car-following behavior R Kazemi, M Abdollahzade ISA transactions 59, 375-384, 2015 | 8 | 2015 |
| Analyzing factors contributing to COVID‐19 mortality in the United States using artificial intelligence techniques M Tanhaeean, N Nazari, SH Iranmanesh, M Abdollahzade Risk Analysis 43 (1), 19-43, 2023 | 6 | 2023 |