| Extracting the main patterns of natural time series for long-term neurofuzzy prediction A Gholipour, C Lucas, BN Araabi, M Mirmomeni, M Shafiee Neural Computing and Applications 16, 383-393, 2007 | 63 | 2007 |
| Introducing a new learning method for fuzzy descriptor systems with the aid of spectral analysis to forecast solar activity M Mirmomeni, M Shafiee, C Lucas, BN Araabi Journal of Atmospheric and Solar-Terrestrial Physics 68 (18), 2061-2074, 2006 | 41 | 2006 |
| Recursive spectral analysis of natural time series based on eigenvector matrix perturbation for online applications M Mirmomeni, C Lucas, BN Araabi, B Moshiri, MR Bidar IET signal processing 5 (6), 515-526, 2011 | 26 | 2011 |
| Forecasting sunspot numbers with the aid of fuzzy descriptor models M Mirmomeni, C Lucas, BN Araabi, M Shafiee Space Weather 5 (8), 2007 | 23 | 2007 |
| Introducing adaptive neurofuzzy modeling with online learning method for prediction of time-varying solar and geomagnetic activity indices M Mirmomeni, C Lucas, B Moshiri, BN Araabi Expert systems with applications 37 (12), 8267-8277, 2010 | 21 | 2010 |
| Input variables selection using mutual information for neuro fuzzy modeling with the application to time series forecasting MMR Yousefi, M Mirmomeni, C Lucas 2007 International Joint Conference on Neural Networks, 1121-1126, 2007 | 18 | 2007 |
| Long-term prediction of solar and geomagnetic activity daily time series using singular spectrum analysis and fuzzy descriptor models M Mirmomeni, E Kamaliha, M Shafiee, C Lucas Earth, planets and space 61, 1089-1101, 2009 | 15 | 2009 |
| Evolution of autonomous hierarchy formation and maintenance A Hintze, M Mirmomeni Artificial Life Conference Proceedings, 366-367, 2014 | 13 | 2014 |
| Analyzing the variation of Lyapunov exponents of solar and geomagnetic activity indices during coronal mass ejections M Mirmomeni, C Lucas Space Weather 7 (7), 2009 | 13 | 2009 |
| Analyzing the variation of embedding dimension of solar and geomagnetic activity indices during geomagnetic storm time M Mirmomeni, C Lucas Earth, planets and space 61, 237-247, 2009 | 9 | 2009 |
| Long term prediction of chaotic time series with the aid of neuro fuzzy models, spectral analysis and correlation analysis M Mirmomeni, C Lucas, B Moshiri 2007 International Joint Conference on Neural Networks, 1790-1795, 2007 | 9 | 2007 |
| Model based method for determining the minimum embedding dimension from solar activity chaotic time series M Mirmomeni, C Lucas International Journal of Engineering 21 (1), 31-44, 2008 | 8 | 2008 |
| Is information a selectable trait? M Mirmomeni, WF Punch, C Adami arXiv preprint arXiv:1408.3651, 2014 | 7 | 2014 |
| Evolved digital ecosystems: Dynamic steady state, not optimal fixed point. RS Olson, M Mirmomeni, T Brom, E Bruger, A Hintze, DB Knoester, ... ECAL, 126-133, 2013 | 7 | 2013 |
| Online multi-step ahead prediction of time-varying solar and geomagnetic activity indices via adaptive neurofuzzy modeling and recursive spectral analysis M Mirmomeni, C Lucas, BN Araabi, B Moshiri, MR Bidar Solar Physics 272, 189-213, 2011 | 7 | 2011 |
| State analysis of discrete-time singular nonlinear systems using a fuzzy neural network M Mirmomeni 13th Iranian Conference on Electrical Engineering (ICEE'05), 2005 | 7 | 2005 |
| Co-evolving data driven models and test data sets with the application to forecast chaotic time series M Mirmomeni, W Punch 2011 IEEE Congress of Evolutionary Computation (CEC), 14-20, 2011 | 6 | 2011 |
| An unsupervised learning method for an attacker agent in robot soccer competitions based on the kohonen neural network M Mirmomeni, MJ Yazdanpanah International Journal of Engineering 21 (3), 255-268, 2008 | 6 | 2008 |
| State analysis of time-invariant singular systems via Haar wavelet M Mirmomeni 13th Iranian Conference on Electrical Engineering (ICEE'05), 2005 | 6 | 2005 |
| Fuzzy descriptor systems and spectral analysis for chaotic time series prediction M Mirmomeni, C Lucas, M Shafiee, BN Araabi, E Kamaliha Neural Computing and Applications 18, 991-1004, 2009 | 5 | 2009 |
