Fuzzy stochastic neural network model for structural system identification
文摘

Dynamic fuzzy stochastic neural network for structural system identification.

Bayesian method and false nearest neighbor approach for model optimization.

Natural gradient method with Kullback–Leibler distance criterion for model training.

Pseudospectrum and Bayesian hypothesis testing methods for model validation.

Address both fuzzy information and measurement uncertainties in ambient data.

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