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Found 4 papers, 1 papers with code
A Differential Evaluation Markov Chain Monte Carlo algorithm for Bayesian Model Updating
In this paper, a Differential Evaluation Markov Chain Monte Carlo (DE-MC) method is used to approximate the posterior function and update FEMs.
Computational Engineering, Finance, and Science Computation
Fuzzy finite element model updating using metaheuristic optimization algorithms
This kind of aleatory uncertainty is irreducible, and may decrease the accuracy of the finite element model updating process.
Missing Data Prediction and Classification: The Use of Auto-Associative Neural Networks and Optimization Algorithms
The methods suggested use the optimization algorithms to minimize an error function derived from training the auto-associative neural network during which the interrelationships between the inputs and the outputs are obtained and stored in the weights connecting the different layers of the network.
Finite Element Model Updating Using Fish School Search Optimization Method
A recent nature inspired optimization algorithm, Fish School Search (FSS) is applied to the finite element model (FEM) updating problem.
