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Cites:

Information Journal Paper

Title

A METHOD BASED ON LEARNING AUTOMATA FOR ADAPTATION OF THE VIGILANCE FACTOR IN FUZZY ARTMAP NETWORK

Pages

  80-88

Abstract

 In this paper, a method based on LEARNING AUTOMATA. for adaptation of the VIGILANCE FACTOR in FUZZY ARTMAP NETWORK when used for classification problems is proposed. The performance of the proposed algorithm is independent of the initial value for VIGILANCE FACTOR. FUZZY ARTMAP NETWORK in which the VIGILANCE FACTOR adapted using LEARNING AUTOMATA. generates smaller structure with higher recognition rate. To study the performance of the proposed method it has been applied to several problems: circle in square, spirals and square in square problems. The results of experiments show the effectiveness of the proposed method.

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  • Cite

    APA: Copy

    ANJIDANI, M., & MEYBODI, M.R.. (2005). A METHOD BASED ON LEARNING AUTOMATA FOR ADAPTATION OF THE VIGILANCE FACTOR IN FUZZY ARTMAP NETWORK. NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN), 3(2), 80-88. SID. https://sid.ir/paper/53653/en

    Vancouver: Copy

    ANJIDANI M., MEYBODI M.R.. A METHOD BASED ON LEARNING AUTOMATA FOR ADAPTATION OF THE VIGILANCE FACTOR IN FUZZY ARTMAP NETWORK. NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN)[Internet]. 2005;3(2):80-88. Available from: https://sid.ir/paper/53653/en

    IEEE: Copy

    M. ANJIDANI, and M.R. MEYBODI, “A METHOD BASED ON LEARNING AUTOMATA FOR ADAPTATION OF THE VIGILANCE FACTOR IN FUZZY ARTMAP NETWORK,” NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN), vol. 3, no. 2, pp. 80–88, 2005, [Online]. Available: https://sid.ir/paper/53653/en

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