A High-Speed Fuzzy Pattern Recognition Method Based on Neural Network

DOI

Bibliographic Information

Other Title
  • ニューラルネットワークを用いたファジィパターン認識の高速化手法

Abstract

Pattern recognition is important in the field of classification, such as signal recognition. This paper proposes a new algorithm, fuzzy pattern recognition method based on neural network, to improve the performance of system. The new algorithm improves the fuzzy membership function and uses the neural network to train the weights, which recognizes the unknown radar signals accurately. The simulation results show that the proposed algorithm can obviously decrease the time consumption compared with the classical recognition method.

Journal

Details 詳細情報について

  • CRID
    1390001205664186624
  • NII Article ID
    130005487466
  • DOI
    10.11527/jceeek.2013.0_312
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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