中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Localization of Immersed Sources by Modified Convolutional Neural Network: Application to a Deep-Sea Experiment

文献类型:期刊论文

作者Xiao X(肖旭);  Wang WB(王文博);  Su L(苏林);  Guo XY(郭新毅);  Ma L(马力);  Ren QY(任群言)
刊名Sensors
出版日期2021
卷号9期号:21页码:3109
ISSN号1424-8220
其他题名Localization of Immersed Sources by Modified Convolutional Neural Network: Application to a Deep-Sea Experiment
源URL[http://159.226.59.140/handle/311008/9727]  
专题历年期刊论文_2021年期刊论文
作者单位中国科学院声学研究所
推荐引用方式
GB/T 7714
肖旭;王文博;苏林;郭新毅;马力;任群言. Localization of Immersed Sources by Modified Convolutional Neural Network: Application to a Deep-Sea Experiment[J]. Sensors,2021,9(21):3109.
APA 肖旭;王文博;苏林;郭新毅;马力;任群言.(2021).Localization of Immersed Sources by Modified Convolutional Neural Network: Application to a Deep-Sea Experiment.Sensors,9(21),3109.
MLA 肖旭;王文博;苏林;郭新毅;马力;任群言."Localization of Immersed Sources by Modified Convolutional Neural Network: Application to a Deep-Sea Experiment".Sensors 9.21(2021):3109.

入库方式: OAI收割

来源:声学研究所

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