Separation of sources using simulated annealing and competitive learning

Author:

Puntonet C.G.,Mansour A.,Bauer C.,Lang E.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference20 articles.

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2. R.M. Clemente, C.G. Puntonet, J.I. Acha, A conjugate gradient method and simulated annealing for blind separation of sources, Lecture Notes in Computer Science, Vol. 2085 (Part II: Bio-Inspired Applications of Connectionism), Springer, Berlin, 2001, pp. 810–817.

3. Independent component analysis, a new concept?;Comon;Signal Process.,1994

4. The latent variable data model for exploratory data analysis and visualization: a generalisation of the nonlinear infomax algorithm;Girolami;Neural Process. Lett.,1998

5. M. Habl, C. Bauer, C. Ziegaus, E.W. Lang, F. Schulmeyer, Can ICA help identify brain tumor related EEG signals? Proceedings of ICA’2000, Helsinky, Finland, 2000, pp. 609–614.

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