Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Krzysztof Cpałka"'
Autor:
Krystian Łapa, Krzysztof Cpałka, Marek Kisiel-Dorohinicki, Józef Paszkowski, Maciej Dębski, Van-Hung Le
Publikováno v:
Journal of Artificial Intelligence and Soft Computing Research. 12:239-253
Population Based Algorithms (PBAs) are excellent search tools that allow searching space of parameters defined by problems under consideration. They are especially useful when it is difficult to define a differentiable evaluation criterion. This appl
Autor:
Marcin Zalasiński, Łukasz Laskowski, Tacjana Niksa-Rynkiewicz, Krzysztof Cpałka, Aleksander Byrski, Krzysztof Przybyszewski, Paweł Trippner, Shi Dong
Publikováno v:
Journal of Artificial Intelligence and Soft Computing Research. 12:267-279
In the verification of identity, the aim is to increase effectiveness and reduce involvement of verified users. A good compromise between these issues is ensured by dynamic signature verification. The dynamic signature is represented by signals descr
Autor:
Adam Slowik, Krzysztof Cpałka
Publikováno v:
IEEE Transactions on Industrial Informatics. 18:542-545
These days, hybrid nature-inspired population-based intelligent optimization methods are a wide range of the algorithms, which are used very often to solve real-world (industrial) optimizationproblems. As it was shown in [item 1) in the Appendix] by
Autor:
Krzysztof Cpałka, Adam Slowik
Publikováno v:
IEEE Transactions on Industrial Informatics. 18:546-558
The article presents issues related to hybrid nature-inspired population-based algorithms of global optimization and their industrial applications. To this end, the article presents a general concept of nature-inspired population-based optimization m
Publikováno v:
Artificial Intelligence and Soft Computing ISBN: 9783031234798
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::104528bb82444a03e85a923e434d77b3
https://doi.org/10.1007/978-3-031-23480-4_33
https://doi.org/10.1007/978-3-031-23480-4_33
Publikováno v:
Artificial Intelligence and Soft Computing ISBN: 9783031234910
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6b1ffcb3657f74fdf662f84665374e1
https://doi.org/10.1007/978-3-031-23492-7_18
https://doi.org/10.1007/978-3-031-23492-7_18
Autor:
Tacjana Niksa-Rynkiewicz, Natalia Szewczuk-Krypa, Anna Witkowska, Krzysztof Cpałka, Marcin Zalasiński, Andrzej Cader
Publikováno v:
Journal of Artificial Intelligence and Soft Computing Research. 11:143-155
Artificial Intelligence algorithms are being increasingly used in industrial applications. Their important function is to support operation of diagnostic systems. This paper presents a new approach to the monitoring of a regenerative heat exchanger i
Publikováno v:
IEEE Transactions on Fuzzy Systems. 28:1019-1022
Publikováno v:
IEEE Transactions on Fuzzy Systems. 28:1125-1139
The solutions proposed in this article are based on our experience with fuzzy systems (FSs), their interpretability, and population-based algorithms (PBAs). They provide a consistent approach to the design of interpretable FSs. First, PBAs can make a
Autor:
Donald C. Wunsch, Marcin Zalasiński, Krzysztof Przybyszewski, Krzysztof Cpałka, Łukasz Laskowski
Publikováno v:
Journal of Artificial Intelligence and Soft Computing Research. 10:173-187
In biometrics, methods which are able to precisely adapt to the biometric features of users are much sought after. They use various methods of artificial intelligence, in particular methods from the group of soft computing. In this paper, we focus on