Maritime Target Trajectory Prediction Model Based on the RNN Network

Autor:	Wei Zhou, Baichen Jiang, Jialong Jin
Rok vydání:	2020
Předmět:	business.industry Computer science Deep learning Data dependence computer.software_genre GeneralLiterature_MISCELLANEOUS Maritime security Order (business) Trajectory Artificial intelligence Data mining business computer Network model
Zdroj:	Lecture Notes in Electrical Engineering ISBN: 9789811501869
DOI:	10.1007/978-981-15-0187-6_39
Popis:	The number of ships has increased in recent years and the requirements for maritime security protection have become more stringent. It is important to improve the prediction accuracy and efficiency of maritime target in order to sustain maritime security. According to the real-time, efficiency and accuracy requirements of maritime target trajectory prediction, a prediction model based on RNN network is proposed to realize maritime target trajectory prediction based on AIS data. This paper uses AIS data between Longkou and Dalian to conduct experiments, and compares the prediction effects of two network models RNN and LSTM on the maritime target trajectory. It proves that the RNN network model has higher prediction accuracy and stronger learning ability. Based on the experimental results, this paper analyzes the characteristics of deep learning in long-term prediction and historical data dependence at the same time.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4d8b79a76238062048e73e179ced21c5 https://doi.org/10.1007/978-981-15-0187-6_39 Zobrazit plný text záznamu