Sökning: "metamodeling"

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

  1. 1. 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

  2. 2. Multitask Convolutional Neural Network Emulators for Global Crop Models - Supervised Deep Learning in Large Hypercubes of Non-IID Data

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Amanda Nilsson; [2020]
    Nyckelord :Multitask Learning; Convolutional Neural Network CNN ; Branched Neural Network; Dynamic Global Vegetation Models DGVM ; Automated Feature Extraction; Feature Importance; Supervised Machine Learning; Emulator; Surrogate Model; Response Surface Model; Approximation Model; Metamodeling; Model Composition; Regularization; Robustness; Hyperparameter Optimization; Mathematics and Statistics;

    Sammanfattning : The aim of this thesis is to establish whether a neural network (NN) can be used for emulation of simulated global crop production - retrieved from the computationally demanding dynamic global vegetation model (DGVM) Lund-Potsdam-Jena General Ecosystem Simulator (LPJ-GUESS). It has been devoted to elaboration with various types of neural network architectures: Branched NNs capable of processing inputs of mixed data types; Convolutional Neural Network (CNN) architectures able to perform automated temporal feature extraction of the given weather time series; simpler fully connected (FC) structures as well as Multitask NNs. LÄS MER

  3. 3. Metamodelling of a Finite Element Analysis of a Drilling Process with Replaceable Inserts

    Magister-uppsats, Högskolan i Skövde/Institutionen för ingenjörsvetenskap

    Författare :Samy Akrouh Ettaghadouini; [2019]
    Nyckelord :drilling; speed; feed; CAD; FEM; simulations; metamodel; neural network; optimization;

    Sammanfattning : The aim of this project is to create a metamodel from a drilling tool with replaceable inserts from FEA of the machining process using MATLAB and ABAQUS. This report contains research in drilling and in metamodeling using neural networks and the work from the design of the CAD, through FEA and simulations, to the metamodeling, excluding the optimization. LÄS MER

  4. 4. Modelling of metal removal rate in titanium alloy milling

    M1-uppsats, Högskolan i Gävle/Maskinteknik

    Författare :Niklas Andersson; [2018]
    Nyckelord :Titanium alloy; carbide; metamodeling; tool life; milling; Ti-6Al-4V;

    Sammanfattning : Titanium is one of fourth most abundant structural metal in earths soil. It is in a composition with other elements, forming titanium alloys. These alloys are used in many different areas, such as medical, energy and sports, but is most commonly used in aerospace applications. LÄS MER

  5. 5. Metamodeling for ultra-fast parameter estimation : Theory and evaluation of use in real-time diagnosis of diffuse liver disease

    Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

    Författare :Martin Gollvik; [2014]
    Nyckelord :Systems biology; diffuse liver disease; DLD; metamodeling; parameter estimation; MRI;

    Sammanfattning : Diffuse liver disease is a growing problem and a major cause of death worldwide. In the final stages the treatment often involves liver resection or transplant and in deciding what course of action is to be taken it is crucial to have a correct assessment of the function of the liver. LÄS MER