Training of interval type-2 fuzzy logic system using extreme learning machine for load forecasting
Extreme learning machine (ELM) is originally proposed for single- hidden layer feed-forward neural networks (SLFN). From the functional equivalence of fuzzy logic systems and SLFN, the fuzzy logic systems can be interpreted as a special case of SLFN under some mild conditions. Hence the fuzzy logic...
| Main Authors: | Hassan, S., Khosravi, A., Jaafar, J. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.26298 / |
| Published: |
Association for Computing Machinery, Inc
2015
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84926211661&doi=10.1145%2f2701126.2701177&partnerID=40&md5=c4ec501f2cd7ab601d98ecd11e5a8fb0 http://eprints.utp.edu.my/26298/ |
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