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Separation of sources using simulated annealing and competitive learning

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

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Abstract

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
Date:2002
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Projects:Graduiertenkolleg Nichtlinearität und Nichtgleichgewicht
Identification Number:
ValueType
10.1016/S0925-2312(02)00510-6DOI
Subjects:500 Science > 530 Physics
500 Science > 570 Life sciences
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Owner: Redakteur Physik
Deposited On:20 Mar 2007
Last Modified:19 Oct 2010 05:49
Item ID:1648
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