Publications
Authors:
  • Jimi Shanahan , James Baldwin , Trevor Martin
Citation:
Genetic Programming Track of GECCO 99, Orlando
Abstract:
The G_DACG (Genetic Discovery of Additive Cartesian Granule feature models) constructive induction
algorithm is presented as a means of automatically identifying rule-based Cartesian granule feature models
from example data. G_DACG combines the powerful search capabilities of genetic programming with a rather
novel and cheap fitness function based upon the semantic separation of learnt concepts expressed in terms of
fuzzy sets extracted over Cartesian granule features. G_DACG is illustrated on a variety of artificial and real
world problems.
Year:
1999
Report number:
1999/207
Attachments: