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Evolving pattern recognition systems

Published in IEEE Transactions on Evolutionary Computation • Dec 1, 2002
NobleIDNI5P12W19R50S17
Authors:
Mateen M. Rizki
,
Michael A. Zmuda
,
Louis A. Tamburino

Abstract

A hybrid evolutionary learning algorithm is presented that synthesizes a complete multiclass pattern recognition system. The approach uses a multifaceted representation that evolves layers of processing to perform feature extraction from raw input data, select cooperative sets of feature detectors, ...

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