Towards neural-symbolic integration: the evolutionary neural logic networks

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Tsakonas:2004:ieeeIS,

• 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 = "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1344655",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.7608",
• language = "en",
• oai = "oai:CiteSeerXPSU:10.1.1.149.7608",
• 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

Citations