Prediction of Deep Ice Layer Thickness Using Adaptive Recurrent Graph Neural Networks.
Benjamin ZalatanMaryam RahnemoonfarPublished in: ICIP (2023)
Keyphrases
- neural network
- multi layer
- feed forward
- recurrent neural networks
- artificial neural networks to predict
- pattern recognition
- prediction model
- prediction accuracy
- graph structure
- artificial neural networks
- prediction error
- graph model
- neural network ensemble
- prediction algorithm
- fuzzy logic
- weighted graph
- random walk
- neural nets
- structured data
- radial basis function network
- directed graph
- multiple layers
- graph partitioning
- graph representation
- graph theoretic
- scalable video coding
- deep learning
- connected components
- neural networks and support vector machines
- fault diagnosis