Neural Network training using the Unscented Kalman Filter
Similar to using the extended Kalman filter, Neural Networks can also be trained through parameter estimation using the unscented Kalman filter. This file provides a function for this purpose. It also includes an example to show how to use this function. It requires the unscented Kalman filter, ukf function, which can be downloaded from: http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?objectId=18217&objectType=FILE
Citation pour cette source
Yi Cao (2026). Neural Network training using the Unscented Kalman Filter (https://fr.mathworks.com/matlabcentral/fileexchange/18355-neural-network-training-using-the-unscented-kalman-filter), MATLAB Central File Exchange. Extrait(e) le .
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- Control Systems > Fuzzy Logic Toolbox >
- AI and Statistics > Deep Learning Toolbox > Train Deep Neural Networks > Function Approximation, Clustering, and Control > Function Approximation and Clustering >
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Inspiré par : Learning the Unscented Kalman Filter, Neural Network training using the Extended Kalman Filter
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| Version | Publié le | Notes de version | |
|---|---|---|---|
| 1.0.0.0 | update description |
