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Information Journal Paper

Title

AN INTELLIGENT BGSA BASED METHOD FOR FEATURE SELECTION IN A PERSIAN HANDWRITTEN DIGITS RECOGNITION SYSTEM

Pages

  29-36

Keywords

BINARY GRAVITATIONAL SEARCH ALGORITHM (BGSA)Q3
BINARY PARTICLE SWARM OPTIMIZATION (BPSO)Q3
BINARY GENETIC ALGORITHM (BGA)Q3

Abstract

 In this paper, an INTELLIGENT FEATURE SELECTION method for recognition of Persian handwritten digits is presented. The fitness function associated with the error in the PERSIAN HANDWRITTEN DIGITS RECOGNITION system is minimized, by selecting the appropriate features, using binary gravitational search algorithm. Implementation results show that the use of intelligent methods is well able to choose the most effective features for this recognition system. The results of the proposed method in comparison with other similar methods based on genetic algorithm and binary particle method of optimizing indicates the effective performance of the proposed method.

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    APA: Copy

    GHANBARI, N., RAZAVI, S.M., & NABAVI KARIZI, S.H.. (2011). AN INTELLIGENT BGSA BASED METHOD FOR FEATURE SELECTION IN A PERSIAN HANDWRITTEN DIGITS RECOGNITION SYSTEM. NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN), 9(1), 29-36. SID. https://sid.ir/paper/53771/en

    Vancouver: Copy

    GHANBARI N., RAZAVI S.M., NABAVI KARIZI S.H.. AN INTELLIGENT BGSA BASED METHOD FOR FEATURE SELECTION IN A PERSIAN HANDWRITTEN DIGITS RECOGNITION SYSTEM. NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN)[Internet]. 2011;9(1):29-36. Available from: https://sid.ir/paper/53771/en

    IEEE: Copy

    N. GHANBARI, S.M. RAZAVI, and S.H. NABAVI KARIZI, “AN INTELLIGENT BGSA BASED METHOD FOR FEATURE SELECTION IN A PERSIAN HANDWRITTEN DIGITS RECOGNITION SYSTEM,” NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN), vol. 9, no. 1, pp. 29–36, 2011, [Online]. Available: https://sid.ir/paper/53771/en

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