Physics-informed neural networks (PINNs) for fluid mechanics: A review.
Shengze CaiZhiping MaoZhicheng WangMinglang YinGeorge Em KarniadakisPublished in: CoRR (2021)
Keyphrases
- neural network
- quantum mechanics
- pattern recognition
- fluid dynamics
- artificial neural networks
- computer science
- genetic algorithm
- multilayer perceptron
- back propagation
- feedforward neural networks
- activation function
- multi layer
- neural nets
- expert systems
- search engine
- computational intelligence
- feed forward
- recurrent neural networks
- reinforcement learning
- three dimensional
- fuzzy systems
- network architecture
- decision trees
- rule extraction
- artificial intelligence
- data mining