Krystian Łapa
Krystian Łapa
Zweryfikowany adres z iisi.pcz.pl
Tytuł
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Cytowane przez
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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
682014
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
442013
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
412015
A new method for designing and complexity reduction of neuro-fuzzy systems for nonlinear modelling
K Łapa, M Zalasiński, K Cpałka
International Conference on Artificial Intelligence and Soft Computing, 329-344, 2013
372013
New method for design of fuzzy systems for nonlinear modelling using different criteria of interpretability
K Łapa, K Cpałka, L Wang
International Conference on Artificial Intelligence and Soft Computing, 217-232, 2014
362014
New algorithm for evolutionary selection of the dynamic signature global features
M Zalasiński, K Łapa, K Cpałka
International Conference on Artificial Intelligence and Soft Computing, 113-121, 2013
362013
Aspects of structure and parameters selection of control systems using selected multi-population algorithms
K Łapa, J Szczypta, R Venkatesan
International conference on artificial intelligence and soft computing, 247-260, 2015
182015
Aspects of the selection of the structure and parameters of controllers using selected population based algorithms
J Szczypta, K Łapa, Z Shao
International Conference on Artificial Intelligence and Soft Computing, 440-454, 2014
182014
On the application of a hybrid genetic-firework algorithm for controllers structure and parameters selection
K Łapa, K Cpałka
Information Systems Architecture and Technology: Proceedings of 36th …, 2016
162016
Flexible fuzzy PID controller (FFPIDC) and a nature-inspired method for its construction
K Łapa, K Cpałka
IEEE Transactions on Industrial Informatics 14 (3), 1078-1088, 2017
142017
Prediction of values of the dynamic signature features
M Zalasiński, K Łapa, K Cpałka
Expert Systems with Applications 104, 86-96, 2018
112018
A new interpretability criteria for neuro-fuzzy systems for nonlinear classification
K Łapa, K Cpałka, AI Galushkin
International Conference on Artificial Intelligence and Soft Computing, 448-468, 2015
112015
New aspects of interpretability of fuzzy systems for nonlinear modeling
K Łapa, K Cpałka, L Rutkowski
Advances in Data Analysis with Computational Intelligence Methods, 225-264, 2018
102018
A new method for generating of fuzzy rules for the nonlinear modelling based on semantic genetic programming
Ł Bartczuk, K Łapa, P Koprinkova-Hristova
International Conference on Artificial Intelligence and Soft Computing, 262-278, 2016
102016
Genetic programming algorithm for designing of control systems
K Cpalka, K Łapa, A Przybył
Information Technology and Control 47 (4), 668-683, 2018
72018
Multi-objective evolutionary instance selection for regression tasks
M Kordos, K Łapa
Entropy 20 (10), 746, 2018
62018
Negative space-based population initialization algorithm (NSPIA)
K Łapa, K Cpałka, A Przybył, K Grzanek
International Conference on Artificial Intelligence and Soft Computing, 449-461, 2018
62018
New method for fuzzy nonlinear modelling based on genetic programming
K Łapa, K Cpałka, P Koprinkova-Hristova
International Conference on Artificial Intelligence and Soft Computing, 432-449, 2016
62016
Aspects of evolutionary construction of new flexible PID-fuzzy controller
K Łapa, J Szczypta, T Saito
International Conference on Artificial Intelligence and Soft Computing, 450-464, 2016
62016
A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects. Neurocomputing (in print, 2014)
K Cpałka, K Łapa, A Przybył, M Zalasiński
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