Sökning: "long term memory"

Visar resultat 11 - 15 av 440 uppsatser innehållade orden long term memory.

  1. 11. Förutsäga spelresultat i Dota 2 med NLP och maskininlärningsalgoritmer

    Master-uppsats, Jönköping University/JTH, Avdelningen för datateknik och informatik

    Författare :Bálint Sándor; Ziping Wan; [2023]
    Nyckelord :;

    Sammanfattning : Esports has grown quickly in recent years, and the business has produced a ton of specifications-based data that is simple to obtain. Because of the aforementioned traits, data mining and deep learning techniques can be used to direct participants and create winning strategies. LÄS MER

  3. 12. 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

  4. 13. The Effects of Aerobic Exercise on The Neural Basis of Memory Functions in Elderly Individuals : A Systematic Review

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Mariam Sharif Osman; Suzan Almostafa; [2023]
    Nyckelord :Aerobic exercise; memory function; healthy older adults; neuroimaging; cognitive aging;

    Sammanfattning : This systematic review aims to investigate the effects of aerobic exercise on the neuroal basis of memory functions in healthy elderly individuals. The search was conducted in accordance with PRISMA and covered three electronic databases, namely PubMed, Scopus, and Web of Science, for peer-reviewed published, and original research. LÄS MER

  5. 14. Aktiemarknadsprognoser: En jämförande studie av LSTM- och SVR-modeller med olika dataset och epoker

    Kandidat-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Författare :Mads Nørklit Johansen; Jagtej Sidhu; [2023]
    Nyckelord :Stock Market Prediction; Long-Short Term Memory; Support Vector Regression; Prediction Accuracy; Financial Investments;

    Sammanfattning : Predicting stock market trends is a complex task due to the inherent volatility and unpredictability of financial markets. Nevertheless, accurate forecasts are of critical importance to investors, financial analysts, and stakeholders, as they directly inform decision-making processes and risk management strategies associated with financial investments. LÄS MER

  7. 15. Modelling Proxy Credit Cruves Using Recurrent Neural Networks

    Master-uppsats, KTH/Matematisk statistik

    Författare :Lucas Fageräng; Hugo Thoursie; [2023]
    Nyckelord :Deep Neural Networks; Credit Risk; Financial Modelling; LSTM; Credit Default Swaps; Credit Valuation Adjustment; Djupa Neurala Nätverk; Kreditrisk; Finansiell Modellering; LSTM; Kreditswappar; Kreditvärderingsjustering;

    Sammanfattning : Since the global financial crisis of 2008, regulatory bodies worldwide have implementedincreasingly stringent requirements for measuring and pricing default risk in financialderivatives. Counterparty Credit Risk (CCR) serves as the measure for default risk infinancial derivatives, and Credit Valuation Adjustment (CVA) is the pricing method used toincorporate this default risk into derivatives prices. LÄS MER