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...
| Main Authors: | Tan, S.C., Wang, S., Watada, J. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.21815 / |
| Published: |
Elsevier Inc.
2018
|
| 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/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|