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Publikováno v:
Computer Methods in Applied Mechanics and Engineering. 319:124-145
We propose a hybrid methodology that implements artificial neural networks (ANN) in the framework of Bayesian updating with structural reliability methods (BUS) in order to increase the computational efficiency of BUS in sampling-based Bayesian infer