Sökning: "Internal benchmark"

Visar resultat 1 - 5 av 55 uppsatser innehållade orden Internal benchmark.

  1. 1. Evaluating the Effects of Neural Noise in the Multidigraph Learning Rule

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

    Författare :Gustav Bressler; Sigvard Dackevall; [2023]
    Nyckelord :;

    Sammanfattning : There exists a knowledge gap in the field of Computational Neuroscience, where many learning models for neural networks fail to take into account the influence of neural noise. The purpose of this thesis was to address this knowledge gap by investigating the robustness of the Multidigraph learning rule (MDGL) when exposed to two kinds of neural noise: external noise and internal noise. LÄS MER

  2. 2. Dimensionering av krisberedskap för elbilsladdning : en simuleringsstudie om krisberedskap för samhällsviktiga funktioner

    Uppsats för yrkesexamina på avancerad nivå, SLU/Dept. of Energy and Technology

    Författare :Linus Christiansen; [2023]
    Nyckelord :krisberedskap; samhällsviktig verksamhet; personbilstransport; elfordon; elektrifiering;

    Sammanfattning : With the rising number of electric vehicles in the Swedish vehicle fleet in combination with the rising electricity demand in the country, it begs the question. How should the electricity demand from charging of electric vehicles for vital societal functions be managed in a time of crisis without the support from the electric grid? This study focuses on the task of dimensioning reserve power systems for electric vehicle (EV) charging of parking spaces with 10, 20 and 30 cars. LÄS MER

  3. 3. Multi-factor approximation : An analysis and comparison ofMichael Pykhtin's paper “Multifactor adjustment”

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Michael Zanetti; Philip Güzel; [2023]
    Nyckelord :Credit risk; Value at Risk; Expected Shortfall; Monte Carlo simulation; Advanced Internal Rantings-Based models; Kreditrisk; Value at Risk; Expected Shortfall; Monte Carlo simulation; Advanced Internal Rantings-Based-modeller;

    Sammanfattning : The need to account for potential losses in rare events is of utmost importance for corporations operating in the financial sector. Common measurements for potential losses are Value at Risk and Expected Shortfall. These are measures of which the computation typically requires immense Monte Carlo simulations. LÄS MER

  4. 4. A multi-gene symbolic regression approach for predicting LGD : A benchmark comparative study

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Hanna Tuoremaa; [2023]
    Nyckelord :Symbolic regression; loss given default; credit risk; logit transformed regression; beta regression; multi-gene genetic programming; regression tree;

    Sammanfattning : Under the Basel accords for measuring regulatory capital requirements, the set of credit risk parameters probability of default (PD), exposure at default (EAD) and loss given default (LGD) are measured with own estimates by the internal rating based approach. The estimated parameters are also the foundation of understanding the actual risk in a banks credit portfolio. LÄS MER

  5. 5. Dynamic Mixed Reality AssemblyGuidance Using Optical Recognition Methods

    Master-uppsats, KTH/Industriell produktion

    Författare :Harpa Hlíf Guðjónsdóttir; Gestur Andrei Ólafsson; [2022]
    Nyckelord :Manufacturing; Mixed Reality; Augmented Reality; Assembly Guidance; Object Recognition; HoloLens 2; Vuforia Engine; Unity; Mixed Reality Toolkit; Tillverkning; Blandad Verklighet; Förstärkt Verklighet; Monteringsvägledning; Objektigenkänning; HoloLens 2; Unity; Vuforia Engine; Mixed Reality Toolkit;

    Sammanfattning : Mixed Reality (MR) is an emerging paradigm in industry. While MR equipment and software have taken great technological strides in past years, standardized methods and workflows for developing MR systems for industry have not been widely adopted for many tasks. This thesis proposes a dynamic MR system for an assembly process. LÄS MER