Applying machine learning and optimization to high-throughput experimentation

• المؤلف الرئيسي: Low, Andre Kai Yuan
• مؤلفون آخرون: Kedar Hippalgaonkar
• التنسيق: Final Year Project
• اللغة: English
• منشور في: Nanyang Technological University 2021
• الموضوعات: Engineering::Materials; Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/147754

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...