Multi-Ship Collision Risk Prediction: An Approach Based on Encoder-Decoder Lstm Neural Network Combination Model-Reference-Cited by-同舟云学术

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Multi-Ship Collision Risk Prediction: An Approach Based on Encoder-Decoder Lstm Neural Network Combination Model

Published:2023 Issue: Volume: Page:
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Author:

Lin Chenyan,Zhen Rong,Tong Yanting,Yang Shenhua

Publisher

Elsevier BV

Reference39 articles.

1. Marine transportation risk assessment using Bayesian Network: Application to Arctic waters;A A Baksh;Ocean Engineering,2018

2. Citywide traffic flow prediction based on multiple gated spatio-temporal convolutional neural networks;C Chen;ACM Transactions on Knowledge Discovery from Data (TKDD),2020

3. A velocity obstacle-based real-time regional ship collision risk analysis method;P Chen;Journal of Marine Science and Engineering,2021

4. Modelling environmental and cognitive factors to predict performance in a stressful training scenario on a naval ship simulator;I Cohen;Technology & Work,2015

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