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Online Prediction of Ship Behavior with Automatic Identification System Sensor Data Using Bidirectional Long Short-Term Memory Recurrent Neural Network

The real-time prediction of ship behavior plays an important role in navigation and intelligent collision avoidance systems. This study developed an online real-time ship behavior prediction model by constructing a bidirectional long short-term memory recurrent neural network (BI-LSTM-RNN) that is s...

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Detalles Bibliográficos
Autores principales:	Gao, Miao, Shi, Guoyou, Li, Shuang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2018
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308602/ https://www.ncbi.nlm.nih.gov/pubmed/30513692 http://dx.doi.org/10.3390/s18124211

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