Neural Network training using the Extended Kalman Filter
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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.
Free download from Shareware Connection - 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
Version: 1.0 | Size: 10 KB | Platform: Matlab, Scripts
Released Date: 02-05-2013 | Rating: 0 | Title: Neural Network training using the Extended Kalman Filter
Author Url: http://www.mathworks.com
Program Info Url: http://www.mathworks.com
Download Url: http://www.mathworks.com/matlabcentral/fx_files/18289/1/nnekf.zip
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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.
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