Prediction of Deep Ice Layer Thickness Using Adaptive Recurrent Graph Neural Networks.
Benjamin ZalatanMaryam RahnemoonfarPublished in: CoRR (2023)
Keyphrases
- neural network
- recurrent neural networks
- feed forward
- multi layer
- prediction accuracy
- prediction error
- random walk
- artificial neural networks to predict
- pattern recognition
- artificial neural networks
- protein function prediction
- single layer
- graph representation
- graph structure
- prediction model
- multi layer perceptron
- fault diagnosis
- multiple layers
- neural network ensemble
- chaotic time series
- bipartite graph
- neural nets
- graph theory
- structured data
- genetic algorithm
- neural networks and support vector machines
- synaptic weights
- clustering algorithm
- fuzzy logic
- back propagation
- connected components
- learning capabilities
- directed graph
- neural network model
- graph partitioning
- spanning tree
- graph model
- multilayer perceptron