Comparison of the Lagrange Constrained Neural Network with Traditional ICA methods (CROSBI ID 488762)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
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
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
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