Tsakonas, A. and Dounias, G., 2004. Evolutionary Neural Logic Networks in Two Medical Decision Tasks. In: EUNITE 2004: Fourth European Symposium on Intelligent Technologies and their implementation on Smart Adaptive Systems. Proceedings. Aachen, Germany: Verlag-Meinz Publications.
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Official URL: http://www.eunite.org/eunite/events/eunite2004/eun...
Two real-world problems of the medical domain are addressed in this work using a novel approach belonging to the area of neural-symbolic systems. Specifically,we apply evolutionary techniques for the development of neural logic networks of arbitrary length and topology. The evolutionary algorithm is consisted of 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 patient postoperative treatment and the diagnosis of the Breast cancer. The extracted solutions maintain their interpretability into simple and comprehensible logical rules. The overall system is shown capable to generate arbitrarily connected and interpretable evolved solutions leading to potential knowledge extraction.
|Item Type:||Book Section|
|Additional Information:||Winner Special Medical Award http://www.eunite.org/eunite/|
|Uncontrolled Keywords:||genetic algorithms, genetic programming, Neural logic networks, Postoperative treatment, Breast cancer|
|Subjects:||Technology > Engineering > Electrical and Electronic Engineering|
|Group:||School of Design, Engineering & Computing|
|Deposited By:||Dr Athanasios Tsakonas LEFT|
|Deposited On:||29 May 2011 13:33|
|Last Modified:||07 Mar 2013 15:44|
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