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.
Citation pour cette source
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. Récupéré le .
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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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Inspiré par : Learning the Extended Kalman Filter
A inspiré : Neural Network training using the Unscented Kalman Filter
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Version | Publié le | Notes de version | |
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1.0.0.0 | update description |