Sökning: "surrogate data"

Visar resultat 1 - 5 av 102 avhandlingar innehållade orden surrogate data.

  1. 1. Computer Experiments Designed to Explore and Approximate Complex Deterministic Models

    Författare :Davood Shahsavani; Anders Grimvall; Stefano Tarantola; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Statistics; computer and systems science; Statistik; data- och systemvetenskap;

    Sammanfattning : Computer experiments are widely used to investigate how technical, economic, and ecological systems respond to changes in inputs or driving forces. This thesis is focused on design of computer experiments that can help us better understand the output from complex computer code models. LÄS MER

  3. 2. Predictive Modelling to Support Design and Manufacturing in Aerospace Engineering

    Författare :Siva Krishna Dasari; Abbas Cheddad; Lars Lundberg; Stan Matwin; Blekinge Tekniska Högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; surrogate modelling; defects classification; machine learning; aerospace; additive manufacturing; Computer Science; Datavetenskap;

    Sammanfattning : A crucial issue in the design of aircraft components is the evaluation of a large number of potential design alternatives.  This evaluation involves too expensive procedures, consequently, it slows down the search for optimal design samples. LÄS MER

  4. 3. Optimization of truck tyres selection

    Författare :Zuzana Nedelkova; Göteborgs universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; radial basis function; categorical variables; truck tyres; simulation-based optimization; surrogate model; approximately optimal solution; efficient solution; rolling resistance coefficient; vehicle dynamics; simulation-based optimization;

    Sammanfattning : This thesis, which consists of an introduction and five appended papers, concerns the optimal selection of tyres for a variety of vehicle configurations as well as operating environments. The selection problem stems from a project cooperation between Chalmers University of Technology and Volvo Group Trucks Technology. LÄS MER

  5. 4. Metamodel based multi-objective optimization

    Författare :Kaveh Amouzgar; Peter Hansbo; Niclas Strömberg; Kent Salomonsson; Sunith Bandaru; Jönköping University; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Multi-objective optimization; strength Pareto evolutionary algorithm; SPEA2; metamodel; surrogate model; response surface; radial basis functions; RBF;

    Sammanfattning : As a result of the increase in accessibility of computational resources and the increase in the power of the computers during the last two decades, designers are able to create computer models to simulate the behavior of a complex products. To address global competitiveness, companies are forced to optimize their designs and products. LÄS MER

  7. 5. Asymptotic Analysis of Machine Learning Models: Comparison Theorems and Universality

    Författare :David Bosch; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; CGMT; Machine Learning; convex gaussian min max theorem; Asymptotic; universality;

    Sammanfattning : The study of Machine Learning models in asymptotic regimes, has provided insight into many of the properties of ML models, but seemingly contradicts classical statistical wisdom. To solve this mystery, this thesis focuses on the analysis of models such as the LASSO and Random features regression, when the data points and model parameters grow infinite at constant ratios. LÄS MER