Physics-guided recurrent neural network trained with approximate Bayesian computation: A case study on structural response prognostics.
Juan Fernández SalasJuan ChiachíoJosé BarrosManuel ChiachíoChetan S. KulkarniPublished in: Reliab. Eng. Syst. Saf. (2024)
Keyphrases
- recurrent neural networks
- echo state networks
- neural network
- feed forward
- complex valued
- recurrent networks
- long short term memory
- computer science
- artificial neural networks
- numerical integration
- neural model
- efficient computation
- structural information
- multilayer perceptron
- hidden layer
- bayesian networks
- test bed
- exact computation
- nonlinear dynamic systems
- reservoir computing
- adaptive neural
- training set
- feedforward neural networks
- artificial intelligence
- hebbian learning
- training process
- pre computed
- posterior probability
- back propagation
- training data
- decision making
- genetic algorithm