Sökning: "deterministic methods"

Visar resultat 21 - 25 av 106 uppsatser innehållade orden deterministic methods.

  1. 21. Deep Reinforcement Learning for Building Control : A comparative study for applying Deep Reinforcement Learning to Building Energy Management

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Wanfu Zheng; [2022]
    Nyckelord :Deep Reinforcement Learning; Building Control; Building Energy Management; Optimization; Thermal Discomfort; Operational Cost; Deep Reinforcement Learning; byggnadskontroll; Building Energy Management; optimering; termiskt obehag; driftskostnader;

    Sammanfattning : Energy and environment have become hot topics in the world. The building sector accounts for a high proportion of energy consumption, with over one-third of energy use globally. A variety of optimization methods have been proposed for building energy management, which are mainly divided into two types: model-based and model-free. LÄS MER

  3. 22. FETAL DOSE ESTIMATION IN ABDOMINAL AND PELVIC CT EXAMINATIONS

    Master-uppsats,

    Författare :Olivia Carlstein; [2021-05-10]
    Nyckelord :Medical physics; Fetal dose; abdominal CT examination; pelvic CT examination; phantom measurement;

    Sammanfattning : Purpose: The purpose of this is study was to compare different methods for estimating the fetal dose, how much the different methods differ from each other and on which dose levels the fetal doses are estimated to. Theory: A radiological procedure should always be justified and in the case of a pregnant patient the justification should include both the mother and the fetus. LÄS MER

  4. 23. Deterministic Quadrature Formulae for the Black–Scholes Model

    Kandidat-uppsats, Mälardalens högskola/Akademin för utbildning, kultur och kommunikation

    Författare :Sajedeh Saadat; Timo Kudljakov; [2021]
    Nyckelord :Deterministic quadrature formulae; Stochastic differential equation; Black--Scholes model; Discretization method.;

    Sammanfattning : There exist many numerical methods for numerical solutions of the systems of stochastic differential equations. We choose the method of deterministic quadrature formulae proposed by Müller–Gronbach, and Yaroslavtseva in 2016. The idea is to apply a simplified version of the cubature in Wiener space. LÄS MER

  5. 24. Inverse Uncertainty Quantification using deterministic sampling : An intercomparison between different IUQ methods

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Tillämpad kärnfysik

    Författare :Hjalmar Andersson; [2021]
    Nyckelord :Inverse Uncertainty Quantification; Model calibration; Unscented transform; Deterministic sampling;

    Sammanfattning : In this thesis, two novel methods for Inverse Uncertainty Quantification are benchmarked against the more established methods of Monte Carlo sampling of output parameters(MC) and Maximum Likelihood Estimation (MLE). Inverse Uncertainty Quantification (IUQ) is the process of how to best estimate the values of the input parameters in a simulation, and the uncertainty of said estimation, given a measurement of the output parameters. LÄS MER

  7. 25. Simulation challenges in robotic grasping

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

    Författare :Sabina Andersson; [2021]
    Nyckelord :;

    Sammanfattning : Grasping and dexterous manipulation is a huge area in the current robotic research field. Traditionally in industrial environments, robots are customized for a certain task and work well with repetitive movements where the entire process is predetermined and deterministic. LÄS MER