Comparative analysis of three approaches of antecedent part generation for an IT2 TSK FLS
Since extreme learning machine is a non-iterative estimation procedure, it is faster than gradient-based algorithms which are iterative. Moreover, the extreme learning machine does not have any design parameters such as learning rate, covariance matrix, etc
| Main Author: | Jaafar, Jafreezal |
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| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.12380 / |
| Published: |
2017
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| Subjects: | |
| Online Access: |
https://www.sciencedirect.com/science/article/pii/S1568494616305841 http://eprints.utp.edu.my/12380/ |
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| Summary: |
Since extreme learning machine is a non-iterative estimation procedure, it is faster than gradient-based algorithms which are iterative. Moreover, the extreme learning machine does not have any design parameters such as learning rate, covariance matrix, etc |
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