Physics-informed State-space Neural Networks for transport phenomena.
Akshay J. DaveRichard B. VilimPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- state space
- neural network
- dynamic programming
- computer science
- heuristic search
- state variables
- reinforcement learning
- neural network model
- artificial intelligence
- markov chain
- genetic algorithm
- dynamical systems
- optimal policy
- back propagation
- fuzzy logic
- pattern recognition
- search space
- artificial neural networks
- basis functions
- markov decision processes
- physical processes
- fault diagnosis
- multi layer
- particle filter
- reinforcement learning algorithms
- planning problems
- rule extraction
- neural nets
- data sets
- belief state
- learning rules
- network architecture
- neural network is trained
- fuzzy systems
- biologically inspired
- function approximation
- multilayer perceptron
- feed forward
- radial basis function
- self organizing maps
- learning algorithm