Application of artificial neural networks to parameter estimation of dynamical systems

Neural network (NN) based estimators of dynamical system parameters are introduced and compared to the least-squares-error estimators. Equations are derived to discuss the NN estimator existence and to express its covariance matrix. The results are illustrated using a numerical example of a 3-parameter system represented by multiexponential model.<
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