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Generating pattern-recognition systems using evolutionary learning

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3 Author(s)
Tamburino, L.A. ; Avionic Directorate, Wright Lab., Wright-Patterson AFB, OH, USA ; Zmuda, M.A. ; Rizki, M.M.

The E-morph learning algorithm combines a number of learning algorithms-genetic, evolutionary programming, clustering-into a hybrid learning system for solving multiclass pattern-recognition problems. Our work also shows that a randomly generated pool of primitive detectors, rather than manually coded features, can be enhanced and assembled into effective solution sets

Published in:

IEEE Expert  (Volume:10 ,  Issue: 4 )