A two-step approach of feature construction for a genetic learning algorithm

@article{Garca2011ATA,
  title={A two-step approach of feature construction for a genetic learning algorithm},
  author={David Garc{\'i}a and Antonio Gonz{\'a}lez Mu{\~n}oz and Ra{\'u}l P{\'e}rez},
  journal={2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011)},
  year={2011},
  pages={1255-1262}
}
Traditionally, fuzzy rule based models work with a fixed set of features to describe a particular problem. Our proposal is to use feature construction by means of functions in order to obtain new variables that allow us to get more information about the problem. In particular, we propose the use of previously defined functions over the input variables in… CONTINUE READING