Skip to main content
Have a personal or library account? Click to login
Self-Configuring Hybrid Evolutionary Algorithm for Fuzzy Imbalanced Classification with Adaptive Instance Selection Cover

Self-Configuring Hybrid Evolutionary Algorithm for Fuzzy Imbalanced Classification with Adaptive Instance Selection

Journal of Artificial Intelligence and Soft Computing Research
Volume 6 (2016): Issue 3 (July 2016)
By: Vladimir Stanovov,  Eugene Semenkin and  Olga Semenkina  
Open Access
|Jun 2016
Metrics

Metrics

DOI: https://doi.org/10.1515/jaiscr-2016-0013
Journal RSS Feed
Language: English
Page range: 173 - 188
Published on: Jun 10, 2016
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Fuzzy classification,
instance selection,
genetic fuzzy system,
self-configuration
Related subjects:
Computer sciences,
Artificial intelligence,
Databases and data mining

© 2016 Vladimir Stanovov, Eugene Semenkin, Olga Semenkina, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 6 (2016): Issue 3 (July 2016)
Previous article
Next article