Temporal Complexity of a Hopfield-Type Neural Model in Random and Scale-Free Graphs.
Marco CafisoPaolo ParadisiPublished in: CoRR (2024)
Keyphrases
- neural model
- scale free
- scale free networks
- small world
- hopfield network
- small world networks
- complex networks
- fully connected
- neural network
- recurrent neural networks
- power law
- protein protein interaction networks
- neural models
- degree distribution
- multi layer perceptron
- graph theory
- numerical simulations
- power law distribution
- clustering coefficient
- biological networks
- control scheme
- random graphs
- community structure
- graph theoretic
- real time
- hopfield neural network
- network topologies
- control system
- global optimization
- neural network model
- feature vectors
- learning algorithm