Lyapunov weights to convey the meaning of time in physics-informed neural networks.
Gabriel TuriniciPublished in: CoRR (2024)
Keyphrases
- neural network
- nonlinear dynamics
- pattern recognition
- nonlinear functions
- artificial intelligence
- stability analysis
- back propagation
- fuzzy systems
- weighted sum
- recurrent neural networks
- connection weights
- artificial neural networks
- lyapunov function
- linear combination
- hidden neurons
- computer science
- weight update
- dynamical systems
- natural language
- weighting scheme
- hidden units
- relative importance
- genetic algorithm
- neural nets
- multi layer
- rbf network
- fuzzy neural network
- adaptive control
- feed forward
- self organizing maps
- sufficient conditions
- class of nonlinear systems
- synaptic weights
- reinforcement learning
- exponential stability
- fuzzy logic
- asymptotic stability
- fuzzy sets
- fault diagnosis
- neural network model
- nonlinear systems
- neuro fuzzy
- learning rules
- activation function
- rbf neural network
- training process