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Comparison of the Lagrange Constrained Neural Network with Traditional ICA methods (CROSBI ID 488762)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Szu, Harold ; Kopriva, Ivica ; Comparison of the Lagrange Constrained Neural Network with Traditional ICA methods // Proceedings of the World Congress Computational Inteligence - Volume I. Piscataway (NJ): Institute of Electrical and Electronics Engineers (IEEE), 2002. str. 466-471-x

Podaci o odgovornosti

Szu, Harold ; Kopriva, Ivica ;

engleski

Comparison of the Lagrange Constrained Neural Network with Traditional ICA methods

The paper presents comparison between the a priori MaxEnt and the a posteriori MaxEnt methodologies, namely Lagrange Constraint Neural Network (LCNN) by Szu in 1997 and ICA algorithms by Bell-Sejnowski-Amari-Oja (BSAO) and many others since 1996. We chose the remote sensing application because it is the only real world application that we know to be truly linear, single path, and instantaneous mixing of the unknown ground spectral objects.

indepemdet component analysis; Lagrange constrained neural network

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Podaci o prilogu

466-471-x.

2002.

objavljeno

Podaci o matičnoj publikaciji

Proceedings of the World Congress Computational Inteligence - Volume I

Piscataway (NJ): Institute of Electrical and Electronics Engineers (IEEE)

Podaci o skupu

The 2002 IEEE World Congress on Computational Intelligence

predavanje

12.05.2002-17.05.2002

Honolulu (HI), Sjedinjene Američke Države

Povezanost rada

Elektrotehnika