ComputerScienceandApplication计算机科学与应用,2023,13(8),1557-1568PublishedOnlineAugust2023inHans.https://www.hanspub.org/journal/csahttps://doi.org/10.12677/csa.2023.138154文章引用:雷妮.基于改进Bi-LSTM的航迹预测模型设计[J].计算机科学与应用,2023,13(8):1557-1568.DOI:10.12677/csa.2023.138154基于改进Bi-LSTM的航迹预测模型设计雷妮中国人民武装警察部队工程大学信息工程学院，陕西西安收稿日期：2023年7月10日；录用日期：2023年8月10日；发布日期：2023年8月17日摘要随着我国航空事业的发展，国家航空安全形势不容乐观，飞机航迹精准预测对执行反劫机任务场景时提高指挥员战场决策能力至关重要，可使指挥员迅速掌握战场态势、精准把握作战时间、快速作出优化决策，对有效打赢反恐战争具有重要意义。针对航迹特征提取过程的梯度消失影响预测精确性的问题，提出了一种基于残差门的Bi-LSTM改进预测模型。在单个LSTM模型中引入残差结构，由正反序两个残差门LSTM构建出Bi-LSTM模型，使得Bi-LSTM模型可以更好的记忆和训练数据特征，避免轨迹数据梯度消失，对飞机航迹数据具有较高的预测精度。关键词残差门，航迹预测，Bi-LSTM神经网络DesignofTrajectoryPredictionModelBasedonImprovedBi-LSTMNiLeiCollegeofInformationEngineering,EngineeringUniversityofPAP,Xi’anShaanxiReceived:Jul.10th,2023;accepted:Aug.10th,2023;published:Aug.17th,2023AbstractWiththedevelopmentofChina’saviationindustry,thenationalaviationsafetysituationisnotop-timistic,andaccuratepredictionofaircrafttracksiscrucialtoimprovecommanders’battlefielddecision-makingabilitywhenperforminganti-hijackingmissionscenarios,sothatcommanderscanquicklygraspthebattlefieldsituation,accuratelygraspthecombattime,andquicklymakeoptimizationdecisions,whichisofgreatsignificancetoeffectivelywinningthewaragainstterror-ism.Aimingattheproblemthatgradientdisappearanceaffectsthepredictionaccuracyoftrackfeatureextractionprocess,animprovedpredictionmodelofBi-LSTMbasedonresidualgateis雷妮DOI:10.12677/csa.2023.1381541558计算机科学与应用proposed.TheresidualstructureisintroducedintoasingleLSTMmodel,andtheBi-LSTMmodelisconstructedfromthetworesidualgateLSTMsinforwardandreverseorder,sothattheBi-LSTMmodelcanbe...
