Ship Motion Attitude Prediction Based on an Adaptive Dynamic Particle Swarm Optimization Algorithm and Bidirectional LSTM Neural Network

A new neural network prediction model is proposed for predicting ship motion attitude with high accuracy. This prediction model is based on an adaptive dynamic particle swarm optimization algorithm (ADPSO) and bidirectional long short-term memory (BiLSTM) neural network, which is to optimize the hyp...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Guoyin Zhang, Feng Tan, Yanxia Wu
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2020-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Ship motion attitude BiLSTM neural network ADPSO algorithm prediction accuracy
Online-Zugang:	https://ieeexplore.ieee.org/document/9091174/
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