| Autor: |
MA Yutang, SUN Peng, ZHANG Jieyong, WANG Peng, YAN Yunfei, ZHAO Liang |
| Předmět: |
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| Zdroj: |
Systems Engineering & Electronics; Dec2022, Vol. 44 Issue 12, p3747-3755, 9p |
| Abstrakt: |
To solve the problem of air group intention recognition under the condition of imbalance samples, a bidirectional gated recurrent unit network air group intention recognition method based on the attention mechanism is proposed. The state information of the air group is encoded into timing features. Prior information is used to encapsulate into sample labels. An improved borderline-synthetic minority oversampling method is proposed to generate a suitable sample set. The timing features of aerial group targets can be deeply extracted by bidirectional mechanism. Attention mechanism is introduced to improve the network' s ability to capture more discriminative features by assigning weights to deep information. Experiment simulation results show that proposed method has better classification effect and higher training efficiency for the intent recognition problem of the air group in the case of imbalance samples. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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