An evolutionary system for neural logic networks using genetic programming and indirect encoding

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Article{Tsakonas:2004:JAL,
  author =       "Athanasios Tsakonas and Vasilios Aggelis and 
                 Ioannis Karkazis and Georgios Dounias",
  title =        "An evolutionary system for neural logic networks using
                 genetic programming and indirect encoding",
  journal =      "Journal of Applied Logic",
  year =         "2004",
  volume =       "2",
  pages =        "349--379",
  number =       "3",
  abstract =     "Nowadays, intelligent connectionist systems such as
                 artificial neural networks have been proved very
                 powerful in a wide area of applications. Consequently,
                 the ability to interpret their structure was always a
                 desirable feature for experts. In this field, the
                 neural logic networks (NLN) by their definition are
                 able to represent complex human logic and provide
                 knowledge discovery. However, under contemporary
                 methodologies, the training of these networks may often
                 result in non-comprehensible or poorly designed
                 structures. we propose an evolutionary system that uses
                 current advances in genetic programming that overcome
                 these drawbacks and produces neural logic networks that
                 can be arbitrarily connected and are easily
                 interpretable into expert rules. To accomplish this
                 task, we guide the genetic programming process using a
                 context-free grammar and we encode indirectly the
                 neural logic networks into the genetic programming
                 individuals. We test the proposed system in two
                 problems of medical diagnosis. Our results are examined
                 both in terms of the solution interpretability that can
                 lead in knowledge discovery, and in terms of the
                 achieved accuracy. We draw conclusions about the
                 effectiveness of the system and we propose further
                 research directions.",
  owner =        "wlangdon",
  URL =          "http://www.sciencedirect.com/science/article/B758H-4C8P84V-1/2/e66a004270eeee4e1c50fa3e09ddd003",
  keywords =     "genetic algorithms, genetic programming, Symbolic
                 connectionist systems, Neural logic networks,
                 Grammar-guided genetic programming, Cellular encoding,
                 Coronary artery disease diagnosis, Cardiac SPECT
                 diagnosis",
  DOI =          "doi:10.1016/j.jal.2004.03.005",
}

Genetic Programming entries for Athanasios D Tsakonas Vasilios Aggelis Ioannis Karkazis Georgios Dounias

Citations