Fuzzy Min-Max Classifier Based on New Membership Function for Pattern Classification: A Conceptual Solution
The fuzzy min-max (FMM) neural network is one of the most powerful neural networks that combines neural network and fuzzy set theory into a common framework for tackling pattern classification problems. FMM neural network carries out learning processes that consist of hyperbox expansion, hyperbox ov...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2018
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/25103/ http://umpir.ump.edu.my/id/eprint/25103/ http://umpir.ump.edu.my/id/eprint/25103/1/Green%20sonochemical%20synthesis%20of%20few1.pdf |