Stanković, Miomir
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Full Name
Stanković, Miomir
Scopus Author ID
Country
Serbia
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Subject
- 1 Bayesian estimation | Chaotic time series prediction | Nonlinear derivative free estimation | Recurrent neural networks
- 1 Divided difference filter | Extended Kalman filter | Gaussian sum filter | Recurrent neural networks | Sequential Bayesian estimation | Unscented kalman filter
- 1 Electronic mail | Feedforward neural networks | Filters | Intelligent networks | Jacobian matrices | Neural networks | Neurons | Parameter estimation | Recurrent neural networks | State estimation
- 1 extended Kalman filter | nework growing | non-stationary | on-line learning | pruning | recurrent RBF | structure adaptation
Date issued
Type
Results 1-5 of 5 (Search time: 0.003 seconds).
Author(s) | Title | Issue Date | Appears in | Rank | |
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1 | Todorović, Branimir; Stanković, Miomir ; Moraga, Claudio | Derivative free training of recurrent neural networks a comparison of algorithms and architectures | 1-Jan-2014 | NCTA 2014 - Proceedings of the International Conference on Neural Computation Theory and Applications; 76-84 | M33 |
2 | Todorovic, Branimir; Stanković, Miomir ; Moraga, Claudio | Gaussian sum filters for recurrent neural networks training | 1-Dec-2006 | 8th Seminar on Neural Network Applications in Electrical Engineering, Neurel-2006 Proceedings; 53-57 | |
3 | Todorović, Branimir; Stanković, Miomir ; Moraga, Claudio | On-line learning in recurrent neural networks using nonlinear Kalman filters | 1-Jan-2003 | Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003; 802-805 | M33 |
4 | Todorović, Branimir; Stanković, Miomir ; Moraga, Claudio | Extended Kalman filter trained recurrent radial basis function network in nonlinear system identification | 1-Jan-2002 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 2415 LNCS; 819-824 | M22 |
5 | Todorović, Branimir; Stanković, Miomir ; Moraga, Claudio | Modeling non-stationary dynamic system using recurrent radial basis function networks | 1-Jan-2002 | 2002 6th Seminar on Neural Network Applications in Electrical Engineering, NEUREL 2002 - Proceedings; 27-32 |