A High-Speed Fuzzy Pattern Recognition Method Based on Neural Network
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- Lin Haomiao
- 早大
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- Jia Molin
- 早大
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- Takaaki Baba
- 早大
Bibliographic Information
- Other Title
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- 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
Description
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
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- Record of Joint Conference of Electrical and Electronics Engineers in Kyushu
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Record of Joint Conference of Electrical and Electronics Engineers in Kyushu 2013 (0), 312-312, 2013
Committee of Joint Conference of Electrical, Electronics and Information Engineers in Kyushu
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Details 詳細情報について
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- CRID
- 1390001205664186624
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- NII Article ID
- 130005487466
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed
