Mastering high-dimensional dynamics with Hamiltonian neural networks.
Scott T. MillerJohn F. LindnerAnshul ChoudharySudeshna SinhaWilliam L. DittoPublished in: CoRR (2020)
Keyphrases
- high dimensional
- neural network
- fuzzy logic
- low dimensional
- high dimensionality
- multi dimensional
- dimensionality reduction
- similarity search
- nonlinear dynamics
- neural network model
- pattern recognition
- recurrent networks
- input space
- dynamical systems
- feature space
- sparse coding
- metric space
- multilayer perceptron
- back propagation
- high dimensional problems
- artificial neural networks
- fuzzy systems
- multi layer
- self organizing maps
- constraint satisfaction problems
- dynamic model
- neural nets
- kernel function
- parameter space
- microarray data
- highly nonlinear
- gene expression data