A Few-shot Learning Method for Intent Analysis of Air Combat Confrontation Behaviors

A Few-shot Learning Method for Intent Analysis of Air Combat Confrontation Behaviors

Aiming at the problems of multiple data sources, multiple data modes, high data dimensions, large redundancy, small and unbalanced sample size, and difficulty in obtaining a large number of labeled data required for training, a deep bidirectional gated recurrent unit (DBGRU) electromagnetic behavior...

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Bibliographic Details
Main Authors:	PAN Ming, ZHENG Jingsong, LI Jinliang, FANG Long, YANG Yang, ZHAO Shijie
Format:	Article
Language:	zho
Published:	Harbin University of Science and Technology Publications 2024-08-01
Series:	Journal of Harbin University of Science and Technology
Subjects:	intent recognition attention mechanisms gated recurrent unit generative adversarial networks contrastive learning
Online Access:	https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2348
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