An Ensemble of Enhanced Fuzzy Min Max Neural Networks for Data Classification

• 主要な著者: Mohammed, Mohammed Falah, Rassem, Taha H.
• フォーマット: 論文
• 言語: English; English
• 出版事項: Universitas Ahmad Dahlan 2017
• 主題: QA76 Computer software
• オンライン･アクセス: http://umpir.ump.edu.my/id/eprint/18180/1/An%20Ensemble%20of%20Enhanced%20Fuzzy%20Min%20Max%20Neural%20Networks%20for%20Data%20Classification.pdf; http://umpir.ump.edu.my/id/eprint/18180/2/An%20Ensemble%20of%20Enhanced%20Fuzzy%20Min%20Max%20Neural%20Networks%20for%20Data%20Classification%201.pdf; http://umpir.ump.edu.my/id/eprint/18180/; http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/6149

An ensemble of Enhanced Fuzzy Min Max (EFMM) neural networks for data classification is proposed in this paper. The certified belief in strength (CBS) method is used to formulate the ensemble EFMM model, with the aim to improve the performance of individual EFMM networks. The CBS method is used to...