Flexible neuro-fuzzy systems L Rutkowski, K Cpałka IEEE Transactions on Neural Networks 14, 554-574, 2003 | 457 | 2003 |
A new algorithm for identity verification based on the analysis of a handwritten dynamic signature K Cpałka, M Zalasiński, L Rutkowski Applied soft computing 43, 47-56, 2016 | 107 | 2016 |
New method for the on-line signature verification based on horizontal partitioning K Cpałka, M Zalasiński, L Rutkowski Pattern Recognition 47 (8), 2652-2661, 2014 | 105 | 2014 |
On-line signature verification using vertical signature partitioning K Cpałka, M Zalasiński Expert Systems with Applications 41 (9), 4170-4180, 2014 | 100 | 2014 |
Novel online speed profile generation for industrial machine tool based on flexible neuro-fuzzy approximation L Rutkowski, A Przybyl, K Cpalka IEEE Transactions on Industrial Electronics 59 (2), 1238-1247, 2011 | 100 | 2011 |
A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects K Cpałka, K Łapa, A Przybył, M Zalasiński Neurocomputing 135, 203-217, 2014 | 89 | 2014 |
Designing and learning of adjustable quasi-triangular norms with applications to neuro-fuzzy systems L Rutkowski, K Cpalka IEEE Transactions on Fuzzy Systems 13 (1), 140-151, 2005 | 86 | 2005 |
Design of interpretable fuzzy systems K Cpałka Springer, 2017 | 75* | 2017 |
On design of flexible neuro-fuzzy systems for nonlinear modelling K Cpałka, O Rebrova, R Nowicki, L Rutkowski International Journal of General Systems 42 (6), 706-720, 2013 | 71 | 2013 |
On evolutionary designing and learning of flexible neuro-fuzzy structures for nonlinear classification K Cpałka Nonlinear Analysis: Theory, Methods & Applications 71 (12), e1659-e1672, 2009 | 69 | 2009 |
A new method for design and reduction of neuro-fuzzy classification systems K Cpalka IEEE Transactions on Neural Networks 20 (4), 701-714, 2009 | 67 | 2009 |
Flexible takagi-sugeno fuzzy systems K Cpalka, L Rutkowski Proceedings. 2005 IEEE International Joint Conference on Neural Networks …, 2005 | 61 | 2005 |
A neuro-fuzzy controller with a compromise fuzzy reasoning L Rutkowski, K Cpałka Control and Cybernetics 31 (2), 297-308, 2002 | 58 | 2002 |
Compromise approach to neuro-fuzzy systems L Rutkowski, K Cpałka Intelligent Technologies-Theory and Applications 76, 85-90, 2002 | 56 | 2002 |
Online speed profile generation for industrial machine tool based on neuro-fuzzy approach L Rutkowski, A Przybył, K Cpałka, MJ Er International Conference on Artificial Intelligence and Soft Computing, 645-650, 2010 | 55 | 2010 |
A general approach to neuro-fuzzy systems L Rutkowski, K Cpalka 10th IEEE International Conference on Fuzzy Systems.(Cat. No. 01CH37297) 3 …, 2001 | 54 | 2001 |
A new approach to nonlinear modelling of dynamic systems based on fuzzy rules Ł Bartczuk, A Przybył, K Cpałka International Journal of Applied Mathematics and Computer Science 26 (3), 2016 | 51 | 2016 |
A new approach to designing interpretable models of dynamic systems K Łapa, A Przybył, K Cpałka International Conference on Artificial Intelligence and Soft Computing, 523-534, 2013 | 47 | 2013 |
A new approach to design of control systems using genetic programming K Cpalka, K Łapa, A Przybył Information technology and control 44 (4), 433-442, 2015 | 46 | 2015 |
Some aspects of evolutionary designing optimal controllers J Szczypta, A Przybył, K Cpałka International Conference on Artificial Intelligence and Soft Computing, 91-100, 2013 | 46 | 2013 |