Universal Differential Equations for Scientific Machine Learning.
Christopher RackauckasYingbo MaJulius MartensenCollin WarnerKirill ZubovRohit SupekarDominic SkinnerAli Jasim RamadhanPublished in: CoRR (2020)
Keyphrases
- differential equations
- machine learning
- dynamical systems
- numerical solution
- ordinary differential equations
- boundary value problem
- numerical methods
- data mining
- pattern recognition
- artificial intelligence
- computer vision
- brownian motion
- nonlinear differential equations
- machine learning algorithms
- partial differential equations
- scientific data
- learning algorithm
- transmission line
- numerical integration
- feed forward artificial neural networks
- high order
- neural network