Multivariate data approximation with preprocessing of data

• Autorzy: Kosiński W. , Kowalczyk D. , Weigl M.
• Języki publikacji: EN

Abstrakty

EN

An adaptive information system is constructed in order to approximate a set of multidimensional data. To get better approximation properties a pre-processing stage of data is proposed in which the set of points, forming the multidimensional data base and called a training set TRE, undergoes a clustering analysis. In the analysis two independent clustering algorithms are used; on each cluster a feed-forward neural network is trained and a membership function of a fuzzy set is constructed. The constructed system contains a module of two-conditional fuzzy rules consequent parts of which are of the functional type. Each rule is designed on a pair of clusters.

Słowa kluczowe

EN

multidimensional data; information system

PL

baza danych; system informacyjny

• Wydawca: Instytut Podstawowych Problemów Techniki PAN
• Czasopismo: Computer Assisted Mechanics and Engineering Sciences
• Rocznik: 2007
• Tom: Vol. 14, No. 4
• Strony: 651--658
• Opis fizyczny: Bibliogr. 30 poz., rys.

Twórcy

autor

Kosiński W.

autor

Kowalczyk D.

autor

Weigl M.

• Polish-Japanese Institute of Information Technology, Koszykowa 86, 02-008 Warszawa

Bibliografia

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