Enhancing extreme learning machines classification with moth-flame optimization technique
Extreme learning machine (ELM) algorithm assigns the input weights and biases in a "one-time stamp" fashion, this method makes the algorithm to be ill-conditioned and reduces its classification accuracy. The contribution of this work is the enhancement of the performance of ELM with the mo...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Advanced Engineering and Science
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/98678/1/RoselinaSallehuddin2022_EnhancingExtremeLearningMachines.pdf http://eprints.utm.my/id/eprint/98678/ http://dx.doi.org/10.11591/ijeecs.v26.i2.pp1027-1035 |
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