Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Krzysztof Wiktorowicz"'
Publikováno v:
Annals of computer science and information systems, Vol 8, Pp 571-575 (2016)
Externí odkaz:
https://doaj.org/article/fb467c3b969c4403ba1b0f5e3d41493a
Publikováno v:
Sensors, Vol 20, Iss 23, p 6794 (2020)
In the gait recognition problem, most studies are devoted to developing gait descriptors rather than introducing new classification methods. This paper proposes hybrid methods that combine regularized discriminant analysis (RDA) and swarm intelligenc
Externí odkaz:
https://doaj.org/article/edea5c89d0ae49e5a8a860f61e61e356
Publikováno v:
Central European Journal of Sport Sciences and Medicine, Vol 17 (2017)
This paper presents an evaluation of the annual cycle for 400 m hurdles using artificial neural networks. The analysis included 21 Polish national team hurdlers. In planning the annual cycle, 27 variables were used, where 5 variables describe the com
Externí odkaz:
https://doaj.org/article/0b610464712e4e5a8cbcec201fd50545
Autor:
Danuta Frackowiak, Krzysztof Wiktorowicz, Alfons Planner, Aneta Waszkowiak, Rodica-Mariana Ion
Publikováno v:
International Journal of Photoenergy, Vol 4, Iss 2, Pp 51-56 (2002)
The time-resolved photothermal methods are used in order to establish the yield of intersystem (singlet-triplet) crossing of dyes that are candidates for the application in photodynamic therapy. It is known that molecules with long living triplet sta
Externí odkaz:
https://doaj.org/article/4b2b8f0e35884a4792599e6c3ed37bf4
Autor:
Michał Chojnicki, Mariola Pawlaczyk, Celina Helak-Łapaj, Jakub Żurawski, Krzysztof Wiktorowicz
Publikováno v:
Journal of Medical Science, Vol 83, Iss 2 (2014)
It is estimated that seven key viruses such as Hepatitis B virus (HBV), Hepatitis C virus (HCV), Human T-lymphotropic virus (HTLV), Human papilloma viruses (HPV), Kaposi’s sarcoma-associated herpes-virus (KSHV), Epstein-Barr virus (EBV) and Merkel
Externí odkaz:
https://doaj.org/article/6a53b0c6c1b8436bb7290b3ac00e09f9
Autor:
Krzysztof Wiktorowicz
Publikováno v:
Neural Computing and Applications. 34:12175-12196
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::792431888a3f05b3b66c44136e415655
https://doi.org/10.1007/s00521-022-07105-8
https://doi.org/10.1007/s00521-022-07105-8
Identification of time series models using sparse Takagi–Sugeno fuzzy systems with reduced structure
Publikováno v:
Neural Computing and Applications. 34:7473-7488
Simplifying fuzzy models, including those for predicting time series, is an important issue in terms of their interpretation and implementation. This simplification can involve both the number of inference rules (i.e., structure) and the number of pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e22ead96fc7c819f94fd56b5760dac7
https://doi.org/10.1007/s00521-021-06843-5
https://doi.org/10.1007/s00521-021-06843-5
Publikováno v:
Soft Computing. 24:15113-15127
This paper proposes a new hybrid method for training high-order Takagi–Sugeno fuzzy systems using sparse regressions and metaheuristic optimization. The fuzzy system is considered with Gaussian fuzzy sets in the antecedents and high-order polynomia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f613d7c18a43e44a39ece1b25d2db54
https://doi.org/10.1007/s00500-020-05238-3
https://doi.org/10.1007/s00500-020-05238-3
Publikováno v:
Neural Computing and Applications. 33:2705-2717
This paper proposes a method for training Takagi–Sugeno fuzzy systems using sparse regressions and particle swarm optimization. The fuzzy system is considered with Gaussian fuzzy sets in the antecedents and high-order polynomials in the consequents
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad94c47a8e1366d8ee6c904e562c9cc6
https://doi.org/10.1007/s00521-020-05133-w
https://doi.org/10.1007/s00521-020-05133-w
Publikováno v:
FUZZ-IEEE
This paper proposes a novel classification model called sparse fuzzy classifier (SFC), which uses a sparse Takagi-Sugeno fuzzy system to classify data. This system is considered with Gaussian fuzzy sets in the antecedents and first-order polynomials
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a6653250c43eb674f85fbe35307e04e
https://doi.org/10.1109/fuzz45933.2021.9494590
https://doi.org/10.1109/fuzz45933.2021.9494590