Feature selection and classification using flexible neural tree

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Chen:2006:N,
  author =       "Yuehui Chen and Ajith Abraham and Bo Yang",
  title =        "Feature selection and classification using flexible
                 neural tree",
  journal =      "Neurocomputing",
  year =         "2006",
  volume =       "70",
  number =       "1-3",
  pages =        "305--313",
  month =        dec,
  note =         "Selected Papers from the 7th Brazilian Symposium on
                 Neural Networks (SBRN '04), 7th Brazilian Symposium on
                 Neural Networks",
  keywords =     "genetic algorithms, genetic programming, Flexible
                 neural tree model, Memetic algorithm, Intrusion
                 detection system, Breast cancer classification",
  DOI =          "doi:10.1016/j.neucom.2006.01.022",
  abstract =     "The purpose of this research is to develop effective
                 machine learning or data mining techniques based on
                 flexible neural tree FNT. Based on the pre-defined
                 instruction/operator sets, a flexible neural tree model
                 can be created and evolved. This framework allows input
                 variables selection, over-layer connections and
                 different activation functions for the various nodes
                 involved. The FNT structure is developed using genetic
                 programming (GP) and the parameters are optimised by a
                 memetic algorithm (MA). The proposed approach was
                 applied for two real-world problems involving designing
                 intrusion detection system (IDS) and for breast cancer
                 classification. The IDS data has 41 inputs/features and
                 the breast cancer classification problem has 30
                 inputs/features. Empirical results indicate that the
                 proposed method is efficient for both input feature
                 selection and improved classification rate.",
}

Genetic Programming entries for Yuehui Chen Ajith Abraham Bo Yang

Citations