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Depending only on a single moment to take inference, the traditional combat intention recognition method is neither scientific nor effective enough. Based on a gated recurrent unit (GRU), a bidirectional propagation mechanism and attention mechanism are introduced in a proposed aerial target combat intention recognition method. The proposed method constructs an air combat intention characteristic set through a hierarchical approach, encodes into numeric time\u2010series characteristics, and encapsulates domain expert knowledge and experience in labels. It uses a bidirectional gated recurrent units (BiGRU) network for deep learning of air combat characteristics and adaptively assigns characteristic weights using an attention mechanism to improve the accuracy of aerial target combat intention recognition. In order to further shorten the time for intention recognition and with a certain predictive effect, an air combat characteristic prediction module is introduced before intention recognition to establish the mapping relationship between predicted characteristics and combat intention types. Simulation experiments show that the proposed model can predict enemy aerial target combat intention one sampling point ahead of time based on 89.7% intent recognition accuracy, which has reference value and theoretical significance for assisting decision\u2010making in real\u2010time intention recognition.<\/jats:p>","DOI":"10.1155\/2021\/6082242","type":"journal-article","created":{"date-parts":[[2021,11,3]],"date-time":"2021-11-03T01:20:09Z","timestamp":1635902409000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":42,"title":["A GRU\u2010Based Method for Predicting Intention of Aerial Targets"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3366-8632","authenticated-orcid":false,"given":"Fei","family":"Teng","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0962-0671","authenticated-orcid":false,"given":"Yafei","family":"Song","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4526-3261","authenticated-orcid":false,"given":"Gang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0715-0840","authenticated-orcid":false,"given":"Peng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1195-2827","authenticated-orcid":false,"given":"Liuxing","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2512-6913","authenticated-orcid":false,"given":"Zongteng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2021,11,2]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"publisher","DOI":"10.1360\/SSI-2019-0106"},{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.3390\/e22030279"},{"key":"e_1_2_9_3_2","doi-asserted-by":"publisher","DOI":"10.3969\/j.issn.1627-9730.2012.05.017"},{"key":"e_1_2_9_4_2","doi-asserted-by":"publisher","DOI":"10.3969\/j.issn.1671-637X.2017.08.004"},{"key":"e_1_2_9_5_2","volume-title":"The Study of Target Intent Assessment Method Based on the Template-Matching","author":"Xia X.","year":"2006"},{"key":"e_1_2_9_6_2","volume-title":"The Research and Implementation of Situation Assessment in the Target Intention Recognition","author":"Li X. 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