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Blind source separation based on self-organizing neural network

Meyer-Bäse, Anke and Gruber, Peter and Foo, Simon and Theis, Fabian J. (2006) Blind source separation based on self-organizing neural network. Engineering Applications of Artificial Intelligence 19 (4-5), pp. 305-311.

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Abstract

This contribution describes a previous termneural network that selfnext term-organizes to recover the underlying original previous termsourcesnext term from typical sensor signals. No particular information is required about the statistical properties of the previous termsourcesnext term and the coefficients of the linear transformation, except the fact that the previous termsourcenext term ...

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Item Type:Article
Date:2006
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Identification Number:
ValueType
10.1016/j.engappai.2005.09.006DOI
Keywords:Self-organization; Independent component analysis; Hebbian and anti-Hebbian learning
Subjects:500 Science > 570 Life sciences
Status:Published
Refereed:Unknown
Created at the University of Regensburg:Unknown
Owner: Gertraud Kellers
Deposited On:12 Oct 2010 09:26
Last Modified:12 Oct 2010 09:26
Item ID:16972
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