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Proceedings Paper

Application of genetic algorithms to infinite-impulse-response adaptive filters
Author(s): Stuart J. Flockton; Michael S. White
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Paper Abstract

Adaptive infmite impulse response filters require the exploration of a multimodal error surface. We describe the use of genetic algorithms for this particular problem and demonstrate that our approach is capable of discovering the global minimum of the performance surface of a multimodal adaptive filter example in a reasonable length of time compared with other methods. We also compare the performance of the genetic algorithm with the recently-proposed method of very fast simulated reannealing.

Paper Details

Date Published: 19 August 1993
PDF: 6 pages
Proc. SPIE 1966, Science of Artificial Neural Networks II, (19 August 1993); doi: 10.1117/12.152641
Show Author Affiliations
Stuart J. Flockton, Univ. of London (United Kingdom)
Michael S. White, Univ. of London (United Kingdom)

Published in SPIE Proceedings Vol. 1966:
Science of Artificial Neural Networks II
Dennis W. Ruck, Editor(s)

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