A self-adaptive class-imbalance TSK neural network with applications to semiconductor defects detection
This paper develops a hybrid approach integrating an adaptive artificial neural network (ANN) and a fuzzy logic system for tackling class-imbalance problems. In particular, a supervised learning ANN based on Adaptive Resonance Theory (ART) is combined with a Tagaki�Sugeno�Kang-based fuzzy infere...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Elsevier Inc.
2018
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032186655&doi=10.1016%2fj.ins.2017.10.040&partnerID=40&md5=fefe70c2341a3f89d2d12059cf151c29 http://eprints.utp.edu.my/21815/ |
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