RCS Optimization Analysis Method for Sea-Skimming Unmanned Aerial Vehicle Based on Back Propagation Neural Network Algorithm

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作者： Yang, Chengpan ^[1] ; Yan, Wei ^[1] ; Zhao, Yang ^[1] ; Geng, Lu ^[1] ; Hou, Shiliang ^[1] ; Chen, Jian ^[2]

作者单位： Nanjing Normal Univ, Sch Elect & Automat Engn, Nanjing 210097, Jiangsu, Peoples R China ^[1] China Energy Engn Grp, Nanjing 211102, Jiangsu, Peoples R China ^[2]

关键词 back propagation (BP) neural network four-path model (FPM)improved multilevel fast multipole algorithm (IMLFMA)physical optics (PO)Radar cross section (RCS)sea conditions unmanned aerial vehicle (UAV)

发布时间 2020-11-11

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Trends in Ecology & Evolution

2020年35卷5期

495-505页

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RCS Optimization Analysis Method for Sea-Skimming Unmanned Aerial Vehicle Based on Back Propagation Neural Network Algorithm

Trends in Ecology & Evolution

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Trends in Ecology & Evolution

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RCS Optimization Analysis Method for Sea-Skimming Unmanned Aerial Vehicle Based on Back Propagation Neural Network Algorithm

Trends in Ecology & Evolution

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Trends in Ecology & Evolution

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