Applying machine learning and optimization to high-throughput experimentation
This study investigates the effects of different hyperparameters and settings in performance of Bayesian and Particle Swarm Optimization, and in doing so develop best practices for their practical application. Concrete Compressive Strength Data Set was modelled with Xtreme Gradient Boosting Regresso...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/147754 |