Creator:

Bilski, Jarosław

Contributor:

Korbicz, Józef - red. ; Uciński, Dariusz - red.

Title:

The UD RLS algorithm for training feedforward neural networks

Group publication title:

AMCS, Volume 15 (2005)

Subject and Keywords:

neural networks ; learning algorithms ; recursive least squares method ; UD factorization

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.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

Date:

2005

Resource Type:

artykuł

Pages:

115-123

Source:

AMCS, volume 15, number 1 (2005) ; click here to follow the link

Language:

eng

Rights:

Biblioteka Uniwersytetu Zielonogórskiego