Temat: fuzzy classification - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Modified neuro-fuzzy TSK network and its application in electronic nose
Autorzy:: Osowski, S.
Brudzewski, K.
Tran-Hoai, L.
Powiązania:: https://bibliotekanauki.pl/articles/201226.pdf
Data publikacji:: 2013
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: neuro-fuzzy TSK networks
fuzzy clusterization
regression
classification
Opis:: The paper develops the modified structure of the Takagi-Sugeno-Kang neuro-fuzzy network with a theoretical basis for its adaptation. The simplified structure follows from the basic theoretical considerations concerning the way of creating the inference rules. The important point of this solution is the application of the fuzzy clustering algorithm to the input data. The efficiency of the proposed solution has been checked on the examples of regression and classification problems concerning the electronic nose.
Źródło:: Bulletin of the Polish Academy of Sciences. Technical Sciences; 2013, 61, 3; 675-680
0239-7528
Pojawia się w:: Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Computational gait analysis for post-stroke rehabilitation purposes using fuzzy numbers, fractal dimension and neural networks
Autorzy:: Prokopowicz, P.
Mikołajewski, D.
Tyburek, K.
Mikołajewska, E.
Powiązania:: https://bibliotekanauki.pl/articles/202175.pdf
Data publikacji:: 2020
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: computational analysis
spatio-temporal gait parameters
fuzzy analysis
gait classification
disorder recognition
Opis:: Computational gait analysis constitutes a useful tool for quantitative assessment of gait disturbances, improving functional diagnosis, assessment of treatment planning, and monitoring of disease progress. There is little research on use of computational gait analysis in neurorehabilitation of post-stroke survivors, but current evidence on its clinical application supports a favorable cost-benefit ratio. The research was conducted among 50 adult people: 25 of them after ischemic stroke constituted the study group, and 25 healthy volunteers constituted the reference group. Study group members were treated for 2 weeks (10 neurorehabilitation sessions). Spatio-temporal gait parameters were assessed before and after therapy and compared using a novel fuzzy-based assessment tool, fractal dimension measurement and gait classification based on artificial neural networks. Measured results of rehabilitation (changes of gait parameters) were statistically relevant and reflected recovery. There is good evidence to extend its use to patients with various gait diseases undergoing neurorehabilitation. However, methodology for properly conducting and interpreting the proposed assessment and analysis procedures, providing validity and reliability of their results remains a key issue. More objective clinical reasoning, based on proposed novel tools, requires further research.
Źródło:: Bulletin of the Polish Academy of Sciences. Technical Sciences; 2020, 68, 2; 191-198
0239-7528
Pojawia się w:: Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:: Biblioteka Nauki

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