Improving efficiency of merging symbolic rules into integrated rules: splitting methods and mergability criteria-Reference-Cited by-同舟云学术

Improving efficiency of merging symbolic rules into integrated rules: splitting methods and mergability criteria

Published:2014-08-21 Issue:2 Volume:32 Page:244-260
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Prentzas Jim¹,Hatzilygeroudis Ioannis²

Affiliation:

1. School of Education Sciences, Department of Education Sciences in Early Childhood, Laboratory of Informatics; Democritus University of Thrace; 68100 Nea Chili, Alexandroupolis Greece

2. Department of Computer Engineering and Informatics; School of Engineering, University of Patras; 26500 Patras Greece

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/exsy.12085/fullpdf

Reference34 articles.

1. A hybrid neural network/genetic algorithm applied to breast cancer detection and recurrence;Belciug;Expert Systems,2013

2. Neurofuzzy models to automate the grading of old-age depression;Chattopadhyay;Expert Systems,2014

3. A hybrid neural network approach for credit scoring;Chuang;Expert Systems,2011

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