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Training Algorithm for Extra Reduced Size Lattice-Ladder Multilayer Perceptrons
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2003 (English)Report (Other academic)
Abstract [en]

A quick gradient training algorithm for a specific neural network structure called an extra reduced size lattice-ladder multilayer perceptron is introduced. Presented derivation of the algorithm utilizes recently found by author simplest way of exact computation of gradients for rotation parameters of lattice-ladder filter. Developed neural network training algorithm is optimal in terms of minimal number of constants, multiplication and addition operations, while the regularity of the structure is also preserved.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2003. , 14 p.
LiTH-ISY-R, ISSN 1400-3902 ; 2499
Keyword [en]
lattice–ladder filter, lattice–ladder multilayer perceptron, adaptation, gradient adaptive lattice algorithms.
National Category
Control Engineering
URN: urn:nbn:se:liu:diva-55916ISRN: LiTH-ISY-R-2499OAI: diva2:316613
Available from: 2010-04-30 Created: 2010-04-30 Last updated: 2014-10-03Bibliographically approved

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Automatic ControlThe Institute of Technology
Control Engineering

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ReferencesLink to record
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