Górriz, J. M., Puntonet, Carlos G., Martin-Clemente, R. and Lang, Elmar (2004) Meta-Heuristics hybridizing independent component analysis with genetic algorithms. In: Proceedings / ICECS 2004: the 11th IEEE International Conference on Electronics, Circuits and Systems; December 13-15, 2004, Tel Aviv, Israel. IEEE Operations Center, Piscataway, NJ, pp. 523-526. ISBN 0-7803-8715-5.
Full text not available from this repository.
Other URL: http://www.ee.bgu.ac.il/~icecs04/
Abstract
In this work we present a novel method for blindly separating unobservable independent component signals from their linear mixtures, using meta- heuristics such as genetic algorithms (GA) to minimize the nonconvex and nonlinear cost functions. This approach is very useful in many fields such as forecasting indexes in financial stock markets where the search for independent components is the ...
Export bibliographical data
| Item type: | Book section | ||||
|---|---|---|---|---|---|
| Date: | 2004 | ||||
| Institutions: | Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang | ||||
| Projects: | Graduiertenkolleg Nichtlinearität und Nichtgleichgewicht | ||||
| Identification Number: |
| ||||
| Dewey Decimal Classification: | 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 | ||||
| Item ID: | 1640 |
Altmetric