Hybrid ant colony optimization and genetic algorithm for rule induction
In this study, a hybrid rule-based classifier namely, ant colony optimization/genetic algorithm ACO/GA is introduced to improve the classification accuracy of Ant-Miner classifier by using GA. The AntMiner classifier is efficient, useful and commonly used for solving rulebased classification problem...
保存先:
主要な著者: | Al-Behadili, Hayder Naser Khraibet, Ku-Mahamud, Ku Ruhana, Sagban, Rafid |
---|---|
フォーマット: | 論文 |
言語: | English |
出版事項: |
Science Publications
2020
|
主題: | |
オンライン・アクセス: | http://repo.uum.edu.my/27852/1/JCS%2016%207%202020%201019%201028.pdf http://repo.uum.edu.my/27852/ http://doi.org/10.3844/jcssp.2020.1019.1028 |
タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
類似資料
-
Ant colony optimization algorithm for rule based classification: Issues and potential
著者:: Al-Behadili, Hayder Naser Khraibet, 等
出版事項: (2018) -
Rule pruning techniques in the ant-miner classification algorithm and its variants: A review
著者:: Al-Behadili, Hayder Naser Khraibet, 等
出版事項: (2018) -
Adaptive parameter control strategy for ant-miner
classification algorithm
著者:: Al-Behadili, Hayder Naser Khraibet, 等
出版事項: (2020) -
An adaptive ant colony optimization algorithm for rule-based classification
著者:: Al-Behadili, Hayder Naser Khraibet
出版事項: (2020) -
Ant colony optimization for rule induction with simulated annealing for terms selection
著者:: Saian, Rizauddin, 等
出版事項: (2012)