Essays about: "modellparametrar"

Showing result 6 - 10 of 27 essays containing the word modellparametrar.

  1. 6. Analyzing the Negative Log-Likelihood Loss in Generative Modeling

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Aleix Espuña I Fontcuberta; [2022]
    Keywords : Generative modeling; Normalizing flows; Generative Adversarial Networks; MaximumLikelihood Estimation; Real Non-Volume Preserving flow; Fréchet Inception Distance; Misspecification; Generativa metoder; Normalizing flows; Generative adversarial networks; Maximum likelihood-metoden; Real non-volume preserving flow; Fréchet inception distance; felspecificerade modeller;

    Abstract : Maximum-Likelihood Estimation (MLE) is a classic model-fitting method from probability theory. However, it has been argued repeatedly that MLE is inappropriate for synthesis applications, since its priorities are at odds with important principles of human perception, and that, e.g. READ MORE

  3. 7. Patient simulation. : Generation of a machine learning “inverse” digital twin.

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Paolo Calderaro; [2022]
    Keywords : Machine learning; Cardiovascular models; Multi-variate time series; Multitarget regression; Inverse modelling; Maskininlärning; kardiovaskuläramodeller; multivariatatidsserier; multi-target regression; invers modellering;

    Abstract : In the medtech industry models of the cardiiovascular systems and simulations are valuable tools for the development of new products ad therapies. The simulator Aplysia has been developed over several decade and is able to replicate a wide range of phenomena involved in the physiology and pathophysiology of breathing and circulation. READ MORE

  4. 8. Parameter estimation in a cardiovascular computational model using numerical optimization : Patient simulation, searching for a digital twin

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Giulia Tuccio; [2022]
    Keywords : Parameter estimation; Enhanced Scatter Search; Particle Swarm; Hooke and Jeeves; Cardiovascular Models; Parameteruppskattning; förbättrad spridningssökning; Particle Swarm; Hooke och Jeeves; kardiovaskulära modeller;

    Abstract : Developing models of the cardiovascular system that simulates the dynamic behavior of a virtual patient’s condition is fundamental in the medical domain for predictive outcome and hypothesis generation. These models are usually described through Ordinary Differential Equation (ODE). READ MORE

  5. 9. Parameter extraction in lithium ion batteries using optimal experiments

    University essay from KTH/Fordonsdesign

    Author : Venu Gopal Prathimala; [2021]
    Keywords : Lithium-ion battery; State of Charge; Physics-based battery models; Model parameterization; Optimal experiments; Sensitivity analysis; Scanning electron microscopy; Brunauer–Emmett–Teller; Litiumjonbatteri; fysikbaserade batterimodeller; modellparameterisering; optimala experiment; känslighetsanalys; skanningelektronmikroskopi; Brunauer – Emmett – Teller; batteri elfordon;

    Abstract : Lithium-ion (Li-Ion) batteries are widely used in various applications and are viable for automotive applications. The effective management of Li-Ion batteries in battery electric vehicles (BEV) plays a crucial role in performance and range. READ MORE

  6. 10. Pricing Complex derivatives under the Heston model

    University essay from KTH/Matematik (Avd.)

    Author : Omar Naim; [2021]
    Keywords : Stochastic volatility Model; Heston Model; Calibration; Financial derivatives; Stokastisk volatilitetsmodell; Heston modell; kalibrering; finansiella derivat;

    Abstract : The calibration of model parameters is a crucial step in the process of valuation of complex derivatives. It consists of choosing the model parameters that correspond to the implied market data especially the call and put prices. READ MORE