Sökning: "metamodels"

Visar resultat 1 - 5 av 8 uppsatser innehållade ordet metamodels.

1. 1. MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels in Stacking Ensemble Learning

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Författare :Ilya Ploshchik; [2023]
   Nyckelord :Visualization; interaction; metamodels; validation metrics; predicted probabilities; stacking; stacked generalization; ensemble learning; machine learning;

   Sammanfattning : Stacking, also known as stacked generalization, is a method of ensemble learning where multiple base models are trained on the same dataset, and their predictions are used as input for one or more metamodels in an extra layer. This technique can lead to improved performance compared to single layer ensembles, but often requires a time-consuming trial-and-error process. LÄS MER

3. 2. Automatic Generation Of Graphical Editors From Graphical Notation Specifications

   Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

   Författare :Joakim Korhonen; Gloria Ninsiima; [2023]
   Nyckelord :;

   Sammanfattning : The use of graphical editors in model-driven engineering has increased as they simplify the design of domain systems by allowing users to manipulate elements using diagrams. This helps developers by elaborating systems and making them easier to analyze with visual representations and with less coding. LÄS MER

4. 3. ENABLING THE EXCHANGE OF METAMODELS DEFINED IN ECORE FROM JETBRAINS MPS TO EMF

   Master-uppsats, Mälardalens högskola/Akademin för innovation, design och teknik

   Författare :Hilal Taha; [2021]
   Nyckelord :MPS; Eclipse; Ecore;

   Sammanfattning : Model-Driven Engineering has been developing since the first release of the Unified Modeling Language, passing several milestones and advancing ever since. Model-Driven Engineering is being used in various fields like medical, cyber-physical systems, web applications, etc. LÄS MER

5. 4. Design Optimization in Gas Turbines using Machine Learning : A study performed for Siemens Energy AB

   Master-uppsats, Linköpings universitet/Programvara och system

   Författare :Berggren Mathias; Sonesson Daniel; [2021]
   Nyckelord :Computer Science; Design Optimization; DO; MDO; Surrogate Models; Surrogates; Response Surface Methods; Metamodels; Metamodeling; Machine Learning; ML; FEA; Finite Element Analysis; FEM; Finite Element Method;

   Sammanfattning : In this thesis, the authors investigate how machine learning can be utilized for speeding up the design optimization process of gas turbines. The Finite Element Analysis (FEA) steps of the design process are examined if they can be replaced with machine learning algorithms. LÄS MER

7. 5. Development of a Multidisciplinary Design Optimization Framework Applied on UAV Design

   Master-uppsats, Linköpings universitet/Maskinkonstruktion; Linköpings universitet/Tekniska fakulteten

   Författare :Athanasios Papageorgiou; [2015]
   Nyckelord :MDO; UAV; Optimization; Multidisciplinary; CAD; Aerodynamics; Sensor analysis; RCS; Mission simulation;

   Sammanfattning : The present thesis deals with the topic of Multidisciplinary Design Optimization (MDO) and in particular with the development of a framework for Unmanned Aerial Vehicle (UAV) design. The orientation of the research and the overall outlook of the case-study have been based on Saab’s proposal regarding the application of MDO in complex products and are in compliance with the guidelines of the Innovative Multidisciplinary Product Optimization (IMPOz) project initiative. LÄS MER