Hybrid meta-heuristic algorithm based parameter optimization for extreme learning machines classification
Most classification algorithms suffer from manual parameter tuning and it affects the training computational time and accuracy performance. Extreme Learning Machines (ELM) emerged as a fast training machine learning algorithm that eliminates parameter tuning by randomly assigning the input weights a...
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| Format: | Thesis |
| Language: | English |
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2021
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| Online Access: | http://eprints.utm.my/101549/1/OyekaleAbelAladePSC2021.pdf |