Evolving intelligent algorithms for the modelling of brain and eye signals

Applied Soft Computing Journal

Volumn 14, Issue PART B, 2014, Pages 259-268

  De Jesús Rubio, José ^a  

^a INSTITUTO POLITÉCNICO NACIONAL   (Mexico)

Author keywords

Brain signals; Evolving intelligent systems; Eye signals; Modelling; Stable intelligent systems

Indexed keywords

ADAPTIVE FUZZY; BRAIN SIGNALS; EVOLVING INTELLIGENT SYSTEMS; INTELLIGENT ALGORITHMS; LEAST SQUARE; SELF-ORGANIZING FUZZY;

MODELS; SOFT COMPUTING; SOFTWARE ENGINEERING;

INTELLIGENT SYSTEMS;

EID: 84889091682     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2013.07.023     Document Type: Article

References (51)

1. C.K. Ahn Takagi-Sugeno fuzzy Hopdield neural networks for H∞ nonlinear system identification Neural Processing Letters 34 1 2011 59 70
2. C.K. Ahn Exponential Hw stable learning method for Takagi-Sugeno fuzzy delayed networks Computers and Mathematics with Applications 63 5 2011 887 895
3. C.K. Ahn An error passivation approach to filtering for switched neural networks with noise disturbance Neural Computing and Applications 21 5 2012 853 861
4. C.K. Ahn, and M.T. Lim Model predictive stabilizer for T-S fuzzy recurrent multilayer neural network models with general terminal weighting matrix Neural Computing and Applications 2013 10.1007/s00521-013-1381-3
5. P. Angelov, E. Lughofer, and X. Zou Evolving fuzzy classifiers using different model architectures Fuzzy Sets and Systems 159 23 2008 3160 3182
6. P. Angelov, D. Filev, and N. Kasabov Evolving Intelligent Systems, Methodology and Applications 2010 John Wiley & Sons New York
7. P. Angelov Fuzzily connected multimodel systems evolving autonomously from data streams, IEEE Transactions on Systems Man and Cybernetics-Part B: Cybernetics 41 4 2011 898 910
8. A. Bouchachia An evolving classification cascade with self-learning Evolving Systems 1 3 2010 143 160
9. A. Bouchachia, R. Mittermeir, P. Sielecky, S. Stafiej, and M. Zieminski Nature-inspired techniques for conformance testing of object-oriented software Applied Soft Computing 10 2010 730 745
10. A. Bouchachia, and M. Prossegger A hybrid ensemble approach for the Steiner tree problem in large graphs: a geographical application Applied Soft Computing 11 8 2011 5745 5754
11. A. Bouchachia Incremental learning with multi-level adaptation Neurocomputing 74 11 2011 1785 1799
12. S. De Castro, J. Pérez, Manual de patología general, 6ta Edición, Masson Elsevier, Barcelona, ISBN: 978 84 458 1540 3 (2006).
13. E. García-Cuesta, and J.A. Iglesias User modeling: Through statistical analysis and subspace learning Expert Systems with Applications 39 2012 5243 5250
14. F. Gibbs, E. Gibbs, Atlas of Electroencephalography, Changes whit Age, Asleep, vol. 1. Addison Wesley, Massachusetts, 1950, pp. 82-89.
15. J. Hori, K. Sakano, and Y. Saitoh Development of a communication support device controlled by eye movements and voluntary eye blink IEICE Transactions Information and Systems E89D 6 2006 1790 1797
16. J.A. Iglesias, P. Angelov, A. Ledezma, and A. Sanchis Creating evolving user behavior profiles automatically IEEE Transactions on Knowledge and Data Engineering 24 5 2011 854 867
17. C.F. Juang, T.C. Chen, and W.Y. Cheng Speedup of implementing fuzzy neural networks with high-dimensional inputs through parallel processing on graphic processing units IEEE Transactions on Fuzzy Systems 19 4 2011 717 728
18. D. Klass, and D. Daly Current Practice of Clinical Electroencephalography, Chapter 5 1975 Raven Press New York 69 109
19. D. Leite, R. Ballini, P. Costa, and F. Gomide Evolving fuzzy granular modeling from nonstationary fuzzy data streams Evolving Systems 3 2 2012 65 79
20. D. Leite, P. Costa, and F. Gomide Interval approach for evolving granular system modeling Learning in Non-Stationary Environments: Methods and Applications 2012 Springer New York 273 304
21. A. Lemos, W. Caminhas, and F. Gomide Multivariable Gaussian evolving fuzzy modeling system IEEE Transactions on Fuzzy Systems 19 1 2011 91 104
22. A. Lemos, W. Caminhas, and F. Gomide Fuzzy evolving linear regression trees Evolving Systems 2 1 2011 1 14
23. E. Lughofer FLEXFIS - a robust incremental learning approach for Evolving Takagi-Sugeno Fuzzy models IEEE Transactions on Fuzzy Systems 16 6 2008 1393 1410
24. E. Lughofer, and P. Angelov Handling drifts and shifts in online data streams with evolving fuzzy systems Applied Soft Computing 11 2 2011 2057 2068
25. E. Lughofer, J.L. Bouchot, and A. Shaker On-line elimination of local redundancies in evolving fuzzy systems Evolving Systems 2 2011 165 187
26. E. Lughofer Sigle pass active learning with conflict and ignorance Evolving Systems 3 2012 251 271
27. E. Lughofer A dynamic split-and-merge approach for evolving cluster models Evolving Systems 3 2012 135 151
28. E. Lughofer Evolving Fuzzy Systems, Methodologies, Advanced Concepts and Applications 2011 Springer Berlin, Heidelberg
29. L. Maciel, A. Lemos, F. Gomide, and R. Ballini Evolving fuzzy systems for pricing fixed income options Evolving Systems 3 2012 5 18
30. C. Martínez, B. Rojas, Técnicas de Electroencefalografía, 2da edición, Secretaria de Educación Pública, Comunicaciones Científicas Mexicanas S.A. de C.V., México, ISBN: 968-7858-12-5 (1998).
31. F.J. Ordoñez, J.A. Iglesias, P. de Toledo, and A. Ledezma Online activity recognition using evolving classifiers Expert Systems with Applications 40 4 2013 1248 1255
32. J.H. Pérez Cruz, E. Ruiz Velázquez, J.J. Rubio, and C.A. de Alva Padilla Robust adaptive neurocontrol of SISO nonlinear systems preceded by unknown deadzone Mathematical Problems in Engineering 2012 2012 1 23
33. J.H. Pérez-Cruz, J.J. Rubio, E. Ruiz-Velázquez, and G. Solís-Perales Tracking control based on recurrent neural networks for nonlinear systems with multiple inputs and unknown deadzone Abstract and Applied Analysis 2012 2012 1 18
34. C. Ramírez, M. Hernández, Procesamiento en tiempo real de variables Fisiológicas, Universidad Nacional de Experimental de Táchira, Decanato de Investigación, Grupo de Biomédica.
35. X. Ren, and X. Lv Identification of extended Hammerstein systems using dynamic self-optimizing neural networks IEEE Transactions on Neural Networks 22 8 2011 1169 1179
36. H.J. Rong, N. Sundararajan, G.B. Huang, and P. Saratchandran Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction Fuzzy Sets and Systems 157 9 2006 1260 1275
37. H.J. Rong, N. Sundararajan, G.-B. Huang, and G.-S. Zhao Extended sequential adaptive fuzzy inference system for classification problems Evolving Systems 2 2 2011 71 82
38. H.-J. Rong, S. Han, and G.-S. Zhao Adaptive fuzzy control of aircraft wing-rock motion Applied Soft Computing 2013 10.1016/j.asoc.2013.03.001
39. J.J. Rubio SOFMLS: Online Self-Organizing Fuzzy Modified Least Square Network IEEE Transactions on Fuzzy Systems 7 6 2009 1296 1309
40. J.J. Rubio, P. Angelov, and J. Pacheco An uniformly Stable Backpropagation Algorithm to Train a Feedforward Neural Network IEEE Transactions on Neural Networks 22 3 2011 356 366
41. J.J. Rubio, D.M. Vazquez, and J. Pacheco Backpropagation to train an evolving radial basis function neural network Evolving Systems 1 3 2010 173 180
42. J.J. Rubio, F. Ortiz, C.R. Mariaca, and J.C. Tovar A method for online pattern recognition for abnormal eye movements Neural Computing and Applications 22 3-4 2013 597 605
43. J.J. Rubio, D.M. Vázquez, and D. Mújica-Vargas Acquisition system and approximation of brain signals, IET Science Measurement and Technology 7 4 2013 232 239
44. J.J. Rubio, and J.H. Pérez Cruz Evolving intelligent system for the modelling of nonlinear systems with dead-zone input Applied Soft Computing 2013 10.1016/j.asoc.2013.03.018
45. D.M. Vázquez, J.J. Rubio, and J. Pacheco A characterization framework for epileptic signals IET Image Processing 6 9 2012 1227 1235
46. M. Sayed-Mouchaweh, and E. Lughofer Learning in Non-Stationary Environments: Methods and Applications 2012 Springer New York
47. X. Wang, and Y. Huang Convergence study in a extended Kalman filter-based training of recurrent neural networks IEEE Transactions on Neural Networks 22 4 2011 588 600
48. J.B. Webster Medical Instrumentation, Aplicattion and Design Fourth Edition 2010 Jonh Wiley & Sons, Inc. United States of America
49. K. Yamagishi, J. Hori, and M. Miyakama Development of EOG-based communication system controlled by eight-directional eye movements Proceedings of the 28th IEEE EMBS Annual International Conference 2006 2574 2577
50. W. Yu, and J.J. Rubio Recurrent neural network training with stable bounding ellipsoid algorithm IEEE Transactions on Neural Networks 20 6 2009 983 991
51. W. Zhang, W. Wu, and M. Yao Boundedness and convergence of bath backpropagation algorithm with penalty with feedforward neural networks Neurocomputing 89 15 2012 141 146.