Bayesian polynomial neural networks and polynomial neural ordinary differential equations.
Colby FronkJaewoong YunPrashant SinghLinda R. PetzoldPublished in: CoRR (2023)
Keyphrases
- ordinary differential equations
- polynomial neural networks
- differential equations
- neural network
- dynamic systems
- numerical solution
- mathematical models
- genetically optimized
- design procedure
- partial differential equations
- data sets
- bayesian networks
- biological systems
- maximum likelihood
- gene regulatory networks
- bayesian inference
- fuzzy neural network
- neuro fuzzy
- computer vision
- data analysis
- experimental data
- input output
- mathematical model
- complex systems
- graphical models
- probability distribution