Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 10 of 10 for “"Meta-modeling"”.
-
Towards practical neural network meta-modeling
This thesis primarily focuses on the topic of efficient automated procedures for convolutional neural network (CNN) architecture search. We first introduce a novel approach for CNN architecture architecture using Q-learning, a popular value iteration algorithm from the reinforcement learning …
-
Multi-objective optimization and meta-modeling of tape-wound transformers
… Curve-fitting techniques are used to derive a meta-model for scaled mass and power loss. The meta-model is compared to designs obtained using detailed design code. A strong agreement between the results from the detailed design code and that predicted by the meta-model is achieved.</p>
-
Meta-modeling and Optimization of Computational Fluid Dynamics (CFD) analysis in thermal comfort for energy-efficient Chilled Beams-based Heating, Ventilation and Air-Conditioning (HVAC) systems
With the rapid rise in the use of air conditioning systems and technological advancements, there is an ever-increasing need for optimizing the HVAC systems for energy efficiency while maintaining adequate occupant thermal comfort. HVAC systems in buildings alone contribute to almost 15% of the …
-
A Prediction Modeling Framework For Noisy Welding Quality Data
… In this research, we propose a prediction modeling framework, which employs bootstrap aggregating (bagging) with support vector regression (SVR) as the base learning algorithm to improve the prediction accuracy on such noisy data. Optimal hyper-parameters for SVR are selected by particle …
-
Unlocking the potential of neural networks in resource and data constrained environments
… very small amounts of data ? -- How to use meta-modeling approach to automatically generate high-performing DNNs ? To address these questions, this dissertation describes machine learning algorithms as follows (a) an action recognition autoencoder which learns over very small datasets; (b) …
-
On The Maintenance Modeling and Optimization of Repairable Systems: Two Different Scenarios
<p>The use of mathematical modeling for the purpose of analyzing and optimizing the performance of repairable systems is widely studied in the literature. In this dissertation, we study two different scenarios on the maintenance modeling and optimization of repairable systems. First, we study the …
-
MODELING AND OPTIMIZATION OF BIODIESEL REACTOR AND FEEDSTOCK
Biodiesel is a non-toxic, biodegradable, and environmentally benign fuel that can be directly used in a diesel engine. Although it has shown promise, the higher production cost of biodiesel compared to that of petroleum-based diesel poses a major hurdle in its development with the cost of feedstock …
-
Model driven security from UML models to access control architectures
… <br> <br>Rather than fixing one particular modeling language for this process, we propose a schema for constructing such languages that combines languages for modeling systems with languages for modeling security. Thus the schema allows language designers to leverage expert know-how that is …
-
Modelem řízený vývoj Spark úloh pomocí Eclipse Acceleo
… a nevýhody. V druhej časti je popísaný navrhnutý meta-model pre modelovanie úloh Sparku. Detailne sú popísané vlastnosti navrhnutého profilového diagramu, ktorý rozširuje diagram tried. Následne je implementovaný generátor kódu, ktorého vstup sú modely vyhovujúce navrhnutému meta-modelu. Práca …