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
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- Lin Haomiao
- 早大
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- Jia Molin
- 早大
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- Takaaki Baba
- 早大
書誌事項
- タイトル別名
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- A High-Speed Fuzzy Pattern Recognition Method Based on Neural Network
説明
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.
収録刊行物
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- 電気関係学会九州支部連合大会講演論文集
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電気関係学会九州支部連合大会講演論文集 2013 (0), 312-312, 2013
電気・情報関係学会九州支部連合大会委員会
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詳細情報 詳細情報について
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- CRID
- 1390001205664186624
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- NII論文ID
- 130005487466
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- データソース種別
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- JaLC
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可