Dynamic system approach in sensitivity analysis of neural and fuzzy systems

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

Abstrakty

EN

In the paper some results of investigations of two intelligent information systems: a feedforward neural network and an adaptive fuzzy expert system, are presented. The systems can be used for example in approximation and control problems or in diagnostics. The adaptive fuzzy expert system is constructed as a hybrid in which a fuzzy inference system is combined with a neural network. In the learning process for given set of training points an optimal value of the so-called generalized weight vector is searched. The Lapunov theory is used to examine the non-sensitivity of the optimal value of a generalized weight vector to initial conditions and training data. Some necessary and sufficient conditions are formulated in terms of the Hessian matrix of the error function.

Słowa kluczowe

PL

analiza wrażliwości; sieć neuronowa; system rozmyty

EN

sensitivity analysis; neural network; fuzzy systems

• Czasopismo: Computer Assisted Mechanics and Engineering Sciences
• Rocznik: 2000
• Tom: Vol. 7, No. 1
• Strony: 39-52
• Opis fizyczny: Bibliogr. 15 poz., wykr.

Twórcy

autor

Weigl, M.

• Polish Academy of Sciences, Institute of Fundamental Technological Research [Polska Akademia Nauk, Instytut Podstawowych Problemów Techniki], ul. Świętokrzyska 21, 00-049 Warsaw, Poland

autor

Kosiński, W.

• Polish Academy of Sciences, Institute of Fundamental Technological Research [Polska Akademia Nauk, Instytut Podstawowych Problemów Techniki], ul. Świętokrzyska 21, 00-049 Warsaw, Poland

Bibliografia

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