Sökning: "tidserier"

Visar resultat 1 - 5 av 9 uppsatser innehållade ordet tidserier.

  1. 1. Improving Training of Differentiable Neural Computers on Time Series

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

    Författare :Isak Persson; [2022]
    Nyckelord :Memory augmented neural networks; Differentiable neural computers; Recurrent neural networks; Time series; Transfer learning; Minnesförstärkta neurala nätverk; Differentierbara neurala datorer; Återkommande neurala nätverk; Tidsserier; Överföra lärande;

    Sammanfattning : Memory Augmented Neural Networks (MANN) is a hot research area within deep learning. One of the most promising MANN is the Differentiable Neural Network (DNC) which is able to learn, in a fully differentiable way, how to represent and store data into an external memory. LÄS MER

  3. 2. Improving deep learning assistedfar-field electromagnetic sidechannelattacks on AES : Effects on attack efficiency from using additive noise and otherdata augmentation techniques

    Master-uppsats, KTH/Mekatronik

    Författare :Axel Zedigh; [2022]
    Nyckelord :;

    Sammanfattning : Profiled side-channel attacks on hardware implemented cryptographic algorithms have been a well-researched topic for the past two decades and many countermeasures against these attacks have been proposed and adopted by the industry. Recently, a new form of far field EM side channel called "screaming channel attacks" have been highlighted. LÄS MER

  4. 3. Forecasting Price Direction Using Different Sampling Methods

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Niklas Mannerskog; [2021]
    Nyckelord :Applied mathematics; sampling methods; scaling laws; foreign exchange rates; futures; price direction; directional change; Tillämpad matematik; samplingsmetoder; skallagar; valutapar; terminer; prisriktning; directional change;

    Sammanfattning : To extract usable information from financial data the prices of financial instruments must be summarized in an efficient manner. Typically price quotes are sampled at discrete and equidistant points in time to create a time series of prices at fixed times. LÄS MER

  5. 4. Predicting Revenue with Price Indices for Baskets of Spare Parts using Machine Learning

    Master-uppsats, KTH/Matematisk statistik

    Författare :Valery Ivinskiy; Kevin Olsson; [2021]
    Nyckelord :Master Thesis; Predicting revenue using price; Machine Learning; Time Series; Price Index; Examensarbete; Prediktering av omsättning genom pris; Maskininlärning; Tidserier; Prisindex;

    Sammanfattning : Companies in the spare part industry can implement a variety of different pricing techniques, which have traditionally been done through personnel know-how and industry conventions. One such technique is the use of price indices to track sales performance. LÄS MER

  7. 5. Load and Demand Forecasting in Iraqi Kurdistan using Time series modelling

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

    Författare :Ershad Taherifard; [2019]
    Nyckelord :ARIMA; Capacity planning; Energy; Kurdistan; Time series; Load forecasting.; ARIMA; Kapacitetsplanering; Energi; Kurdistan; Tidserier; Prognoser.;

    Sammanfattning : This thesis examines the concept of time series forecasting. More specifically, it predicts the load and power demand in Sulaymaniyah, Iraqi Kurdistan, who are today experiencing frequent power shortages. This study applies a commonly used time series model, the autoregressive integrated moving average model, which is compared to the naïve method. LÄS MER