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Separation of sources using simulated annealing and competitive learning

Puntonet, Carlos G., Mansour, A., Bauer, Ch. and Lang, Elmar (2002) Separation of sources using simulated annealing and competitive learning. Neurocomputing 49, pp. 39-60.

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Other URL: http://www.elsevier.com/wps/find/journaldescription.cws_home/505628/description


This paper presents a new adaptive procedure for the linear and non-linear separation of sig nals with non-uniform, symmetrical probability distributions, based on both simulated annealing and competitive learning methods by means of a neural network, considering the properties of the vectorial spaces of sources and mixtures, and using a multiple linearization in the mixture space. The ...


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Item type:Article
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Projects:Graduiertenkolleg Nichtlinearität und Nichtgleichgewicht
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Dewey Decimal Classification:500 Science > 530 Physics
500 Science > 570 Life sciences
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:1648
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