Instance-based classification with Ant Colony Optimization
Author:
Affiliation:
1. School of Computing, University of Kent, Canterbury, UK
2. Department of Mathematics & Computer Science, Brandon University, Brandon, MB, Canada
3. School of Computing, University of Kent, Chatham Maritime, UK
Publisher
IOS Press
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science
Reference80 articles.
1. A.M. Abdelbar, I. El-Nabarawy, D.C. Wunch and K.M. Salama, Ant colony optimization applied to the training of a high order neural network with adaptable exponential weights, in: Applied Artificial Higher Order Neural Networks for Control and Recognition, M. Zhang, ed., IGI Global Press, Hershey, PA, USA, 2016.
2. A.M. Abdelbar and K.M. Salama, A gradient-guided ACO algorithm for neural network learning, in: Proceedings IEEE Swarm Intelligence Symposium (SIS-2015), 2015, pp. 1133–1140.
3. D. Aha, Lazy Learning, Kluwer, Norwell, MA, USA, 1997.
4. Instance-based learning algorithms;Aha;Machine Learning,1991
5. Bankruptcy prediction modeling with hybrid case-based reasoning and genetic algorithms approach;Ahn;Applied Soft Computing,2009
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