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

• Main Authors: Mohammed, Mohammed Falah, Rassem, Taha H.
• Format: Article
• Language: English; English
• Published: Universitas Ahmad Dahlan 2017
• Subjects: QA76 Computer software
• Online Access: 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...