Sökning: "Black-Box Optimization"
Visar resultat 21 - 25 av 29 uppsatser innehållade orden Black-Box Optimization.
21. Learning-Based Auto-Tuning for Motion Controllers of Mobile Robots
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : An auto-tuner of the parameters of a mobile robots motion controlleris developed to improve its performance. The generality of the auto-tunerallows for similar applications on other robots or controllers. LÄS MER
22. Black-box optimization of simulated light extraction efficiency from quantum dots in pyramidal gallium nitride structures
Master-uppsats, Linköpings universitet/Matematiska institutionenSammanfattning : Microsized hexagonal gallium nitride pyramids show promise as next generation Light Emitting Diodes (LEDs) due to certain quantum properties within the pyramids. One metric for evaluating the efficiency of a LED device is by studying its Light Extraction Efficiency (LEE). LÄS MER
23. Finding Optimal Jetting Waveform Parameters with Bayesian Optimization
Master-uppsats, KTH/Optimeringslära och systemteoriSammanfattning : Jet printing is a method in surface mount technology (SMT) in which small volumes of solder paste or other electronic materials are applied to printed circuit boards (PCBs). The solder paste is shot onto the boards by a piston powered by a piezoelectric stack. LÄS MER
24. Application and Evaluation of Artificial Neural Networks in Solvency Capital Requirement Estimations for Insurance Products
Master-uppsats, KTH/Matematisk statistikSammanfattning : The least squares Monte Carlo (LSMC) approach is commonly used in the estimation of the solvency capital requirement (SCR), as a more computationally efficient alternative to a full nested Monte Carlo simulation. This study compares the performance of artificial neural networks (ANNs) to that of the LSMC approach in the estimation of the SCR of various financial portfolios. LÄS MER
25. A Comparative Study of Black-box Optimization Algorithms for Tuning of Hyper-parameters in Deep Neural Networks
Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för teknikvetenskap och matematikSammanfattning : Deep neural networks (DNNs) have successfully been applied across various data intensive applications ranging from computer vision, language modeling, bioinformatics and search engines. Hyper-parameters of a DNN are defined as parameters that remain fixed during model training and heavily influence the DNN performance. LÄS MER