Sökning: "neuralnetworks"

Visar resultat 1 - 5 av 26 uppsatser innehållade ordet neuralnetworks.

  1. 1. Machine Learning for State Estimation in Fighter Aircraft

    Master-uppsats, KTH/Optimeringslära och systemteori

    Författare :Axel Boivie; [2023]
    Nyckelord :State estimation; machine learning; fighter aircraft; neural networks; long short- term memory; LSTM; sensor fusion; air data system; ADS.; Tillståndsestimering; maskininlärning; stridsflygplan; neurala nätverk; sensorfusion; luftdatasystem.;

    Sammanfattning : This thesis presents an estimator to assist or replace a fighter aircraft’s air datasystem (ADS). The estimator is based on machine learning and LSTM neuralnetworks and uses the statistical correlation between states to estimate the angleof attack, angle of sideslip and Mach number using only the internal sensorsof the aircraft. LÄS MER

  3. 2. Assessing Electricity Prices and Their Driving Mechanisms in Brazil with Neural Networks

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Henrique Costabile; [2023]
    Nyckelord :;

    Sammanfattning : In general, electricity prices are very volatile and derive from many external variables. In Brazil, this price is determined by computer models developed and operated by government organizations. The supply and demand relationships are not enough to determine prices in Brazilian submarkets. LÄS MER

  4. 3. Accuracy and Robustness of State of the Art Deepfake Detection Models

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

    Författare :Tobias Carlsson; Oskar Strömberg; [2023]
    Nyckelord :;

    Sammanfattning : With the evolution of artificial intelligence a lot of people have started getting worried about the potential dangers of deepfake images and videos, such as spreading fake videos of influential people. Several solutions to this problem have been proposed with some of the most efficient being convolutional neural networks for face detection in order to differentiate real images from deepfake images generated with a generative adversarial network. LÄS MER

  5. 4. Classification of weather conditions based on supervised learning

    M1-uppsats, Högskolan i Gävle/Datavetenskap

    Författare :Mohamad Safia; Rodi Abbas; [2023]
    Nyckelord :Machine learning; Neural networks; Support vector machines; K-nearest neighbours; Random forest; Weather prediction;

    Sammanfattning : Forecasting the weather remains a challenging task because of the atmosphere's complexity and unpredictable nature. A few of the factors that decide weather conditions, such as rain, clouds, clear skies, and sunshine, include temperature, pressure, humidity, wind speed, and direction. LÄS MER

  7. 5. Solving Partial Differential Equations With Neural Networks

    Master-uppsats, Uppsala universitet/Matematiska institutionen

    Författare :Håkan Karlsson Faronius; [2023]
    Nyckelord :Partial differential equations; neural networks; physics-informed neural networks; deep ritz method; fourier neural operator; importance sampling; inverse problems;

    Sammanfattning : In this thesis three different approaches for solving partial differential equa-tions with neural networks will be explored; namely Physics-Informed NeuralNetworks, Fourier Neural Operators and the Deep Ritz method. Physics-Informed Neural Networks and the Deep Ritz Method are unsupervised machine learning methods, while the Fourier Neural Operator is a supervised method. LÄS MER