The extended Kalman filter can not only estimate states of nonlinear dynamic systems from noisy measurements but also can be used to estimate parameters of a nonlinear system. A direct application of parameter estimation is to train artificial neural networks. This function and an embeded example shows a way how this can be done.

NN_EKF\NNEKFmain.m
......\NN_EKF_Figure.tif
......\ekf.m
......\jaccsd.m
......\nn.m
......\nnekf.m
NN_EKF

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