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Wyszukujesz frazę "fuzzy granulation" wg kryterium: Temat


Wyświetlanie 1-3 z 3
Tytuł:
Fuzzy inference neural networks with fuzzy parameters
Autorzy:
Rutkowska, D.
Hayashi, Y.
Powiązania:
https://bibliotekanauki.pl/articles/1931581.pdf
Data publikacji:
2003
Wydawca:
Politechnika Gdańska
Tematy:
neuro-fuzzy systems
fuzzy neural networks
fuzzy inference neural networks
fuzzy systems of type 2
fuzzy granulation
Opis:
This paper concerns fuzzy neural networks and fuzzy inference neural networks, which are two different approaches to neuro-fuzzy combinations. The former is a direct fuzzification of artificial neural networks by introducing fuzzy signals and fuzzy weights. The latter is a representation of fuzzy systems in the form of multi-layer connectionist networks, similar to neural networks. Parameters of membership functions (centers and widths) play the role of neural network weights. In this paper, fuzzy inference neural networks with fuzzy parameters are considered. Neuro-fuzzy systems of this kind utilize both approaches: fuzzy neural networks and fuzzy inference neural networks. They also pertain to fuzzy systems of type 2 since membership functions with fuzzy parameters characterize type 2 fuzzy sets. Various architectures of these networks have been obtained for fuzzy systems based on different fuzzy implications. By analogy with fuzzy inference neural networks with crisp parameters, methods of learning fuzzy parameters and rule generation can be derived for neuro-fuzzy systems with fuzzy parameters. Fuzzy inference neural networks are studied in the framework of fuzzy granulation. In particular, fuzzy clustering as fuzzy information granulation is proposed to be applied in order to generate fuzzy IF-THEN rules. Applications of fuzzy inference neural networks are also outlined.
Źródło:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2003, 7, 1; 7-22
1428-6394
Pojawia się w:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Granular representation of biomedical signals using numerical differentiation methods
Autorzy:
Momot, M.
Momot, A.
Gacek, A.
Powiązania:
https://bibliotekanauki.pl/articles/332925.pdf
Data publikacji:
2010
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
grupowanie
liczby rozmyte
granulacja informacji
interpolacja
kryterium odbudowy
clustering
fuzzy number
information granulation
interpolation
reconstruction criterion
Opis:
This work presents the general idea of granular description of temporal signal, particularly biomedical signal sampled with constant frequency. The main idea of presented method is based on using triangular fuzzy numbers as information granules in temporal and amplitude spaces. The amplitude space contains values of first few derivatives of underlying signal. The construction of data granules is performed using the optimization method according to some objective function, which balances the high coverage ability and the low support of fuzzy numbers. The granules (descriptors) undergo the clustering process, namely fuzzy c-means. The centroids of created clusters form a granular vocabulary and the quality of description is quantitatively assessed by reconstruction criterion. There are presented results of experiments with the electrocardiographic signal, digitally sampled and stored in MIT-BIH database. The method of numerical differentiation of function based on finite set of its values is employed, which incorporates polynomial interpolation. The paper presents results of numerical experiments which show the impact of method parameters, such as temporal window length, degree of polynomial, fuzzification parameter, on the reconstruction ability of presented method.
Źródło:
Journal of Medical Informatics & Technologies; 2010, 16; 43-49
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Architectures of Granular Information and Their Robustness Properties: a Shadowed Sets Approach
Autorzy:
Pedrycz, W.
Powiązania:
https://bibliotekanauki.pl/articles/908294.pdf
Data publikacji:
1999
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
informacja szczegółowa
zbiór rozmyty
dane zaszumione
niepewność
multiplekser
information granulation and information granules
fuzzy sets
shadowed sets
noisy data
uncertainty
generalized multiplexer
switching mechanisms
Opis:
This paper addresses an important issue of information of granulation and relationships between the size of information granules and the ensuing robustness aspects. The use of shadowed sets helps identify and quantify absorption properties of set-based information granules. Discussed is also a problem of determining an optimal level of information granulation arising in the presence of noisy data. The study proposes a new architecture of granular computing involving continuous and granulated variables. Numerical examples are also included.
Źródło:
International Journal of Applied Mathematics and Computer Science; 1999, 9, 2; 435-455
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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