@misc{Bilski_Jarosław_The,
 author={Bilski, Jarosław},
 howpublished={online},
 publisher={Zielona Góra: Uniwersytet Zielonogórski},
 language={eng},
 abstract={A new algorithm for training feedforward multilayer neural networks is proposed. It is based on recursive least squares procedures and U-D factorization, which is a well-known technique in filter theory. It will be shown that due to the U-D factorization method, our algorithm requires fewer computations than the classical RLS applied to feedforward multilayer neural network training.},
 type={artykuł},
 title={The UD RLS algorithm for training feedforward neural networks},
 keywords={neural networks, learning algorithms, recursive least squares method, UD factorization},
}