Neural Network training using the Extended Kalman Filter
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.
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Yi Cao (2024). Neural Network training using the Extended Kalman Filter (https://www.mathworks.com/matlabcentral/fileexchange/18289-neural-network-training-using-the-extended-kalman-filter), MATLAB Central File Exchange. Recuperado .
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- Control Systems > System Identification Toolbox > Online Estimation >
- AI and Statistics > Deep Learning Toolbox > Sequence and Numeric Feature Data Workflows >
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Inspirado por: Learning the Extended Kalman Filter
Inspiración para: Neural Network training using the Unscented Kalman Filter
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1.0.0.0 | update description |