Generation and Optimization of Fuzzy Neural Networks Structure

• Autorzy: Świątnicki Z. , Olej V.

Warianty tytułu

PL

Generowanie i optymalizacja struktury rozmytej sieci neuronowej

• Języki publikacji: EN

Abstrakty

EN

The paper presents the possibility of application of genetic algorithms for optimization of fuzzy neural networks structure and its application to pattern recognition. A genetic method to generate a fuzzy neural network, which has both structure and synapse weights adequate for a given task is proposed.

PL

W pracy zaprezentowano możliwość zastosowania algorytmów genetycznych do optymalizacji struktury rozmytej sieci neuronowej. Przedstawiono przykład wykorzystania romytej sieci neuronowej do rozpoznania wzorców Operacje genetyczne zostały użyte do dostosowania struktury sieci i wag synaptycznych. Dostosowanie ma charakter dynamiczny, wykorzystywany jest rozproszony algorytm genetyczny. Wyniki uzyskano w języku C++ w środowiski Windows.

Słowa kluczowe

EN

optimization; fuzzy neural networks; genetic algorithms; pattern recognition

PL

optymalizacja; sieci neuronowe; algorytmy genetyczne

• Wydawca: Wojskowa Akademia Techniczna im. Jarosława Dąbrowskiego
• Czasopismo: Biuletyn Wojskowej Akademii Technicznej
• Rocznik: 2002
• Tom: Vol. 51, nr 9
• Strony: 125--138
• Opis fizyczny: Bibliogr. 20 poz.

Twórcy

autor

Świątnicki Z.

autor

Olej V.

• Military University of Technology, Department of Logistic Management, Logistic Institute, Kaliskiego 2, 00-908 Warsaw,

Bibliografia

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