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.
Cita come
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. Recuperato .
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- Control Systems > System Identification Toolbox > Online Estimation >
- AI, Data Science, and Statistics > Deep Learning Toolbox > Sequence and Numeric Feature Data Workflows >
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Ispirato da: Learning the Extended Kalman Filter
Ispirato: Neural Network training using the Unscented Kalman Filter
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Versione | Pubblicato | Note della release | |
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1.0.0.0 | update description |