Meyer-Bäse, Anke, Gruber, Peter, 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: |
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| Keywords: | Self-organization; Independent component analysis; Hebbian and anti-Hebbian learning | ||||
| Dewey Decimal Classification: | 500 Science > 570 Life sciences | ||||
| Status: | Published | ||||
| Refereed: | Unknown | ||||
| Created at the University of Regensburg: | Unknown | ||||
| Item ID: | 16972 |
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