An Ensemble of Enhanced Fuzzy Min Max Neural Networks for Data Classification
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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English English |
| Published: |
Universitas Ahmad Dahlan
2017
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/18180/ http://umpir.ump.edu.my/id/eprint/18180/ http://umpir.ump.edu.my/id/eprint/18180/ 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 |
Internet
http://umpir.ump.edu.my/id/eprint/18180/http://umpir.ump.edu.my/id/eprint/18180/
http://umpir.ump.edu.my/id/eprint/18180/
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