Towards neural-symbolic integration: the evolutionary neural logic networks

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Athanasios Tsakonas",
  title =        "Towards neural-symbolic integration: the evolutionary
                 neural logic networks",
  booktitle =    "2nd International IEEE Conference on Intelligent
                 Systems, 2004",
  year =         "2004",
  month =        jun,
  volume =       "1",
  pages =        "156--161",
  publisher =    "IEEE",
  keywords =     "genetic algorithms, genetic programming, cellular
                 encoding, computational intelligence, diabetes
                 diagnosis, evolutionary computation, grammar guided
                 genetic programming, hepatitis diagnosis, hepatitis
                 patients, knowledge extraction, neural logic networks,
                 neural-symbolic integration, diseases, feature
                 extraction, medical diagnostic computing, neural nets",
  URL =          "",
  URL =          "",
  language =     "en",
  oai =          "oai:CiteSeerXPSU:",
  abstract =     "This work presents the application of a new
                 methodology for the production of neural logic networks
                 into two real-world problems from the medical domain.
                 Namely, we apply grammar guided genetic programming
                 using cellular encoding for the representation of
                 neural logic networks into population individuals. The
                 application area is consisted of the diagnosis of
                 diabetes and the diagnosis of the course of hepatitis
                 patients. The system is proved able to generate
                 arbitrarily connected and interpretable evolved
                 solutions leading to potential knowledge extraction.",
  notes =        "Also know as \cite{1344655}",

Genetic Programming entries for Athanasios D Tsakonas