Destination Prediction of Oil Tankers Using Graph Abstractions and Recurrent Neural Networks.
Búgvi Benjamin MagnussenNikolaj BläserRune Møller JensenKenneth YlänenPublished in: ICCL (2021)
Keyphrases
- recurrent neural networks
- chaotic time series
- feed forward
- neural network
- reservoir computing
- echo state networks
- graph representation
- complex valued
- prediction accuracy
- recurrent networks
- artificial neural networks
- random walk
- hebbian learning
- cascade correlation
- graph theory
- feedforward neural networks
- long short term memory
- shortest path
- graph structure
- weighted graph
- prediction error
- graph model
- bipartite graph
- prediction model
- directed graph
- structured data
- high level
- neural model
- short term
- oil spill
- long term
- support vector
- artificial intelligence