Generating pattern-recognition systems using evolutionary learning
Louis A. Tamburino, Michael A. Zmuda, Mateen M. Rizki · IEEE Expert · 1995
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.>