Sökning: "Time-series prediction"

Visar resultat 6 - 10 av 237 uppsatser innehållade orden Time-series prediction.

  1. 6. On modelling OMXS30 stocks - comparison between ARMA models and neural networks

    Master-uppsats, Uppsala universitet/Matematiska institutionen

    Författare :Irina Zarankina; [2023]
    Nyckelord :ARMA; ARIMA; LSTM; time series; statistics;

    Sammanfattning : This thesis compares the results of the performance of the statistical Autoregressive integrated moving average (ARIMA) model and the neural network Long short-term model (LSTM) on a data set, which represents a market index. Both models are used to predict monthly, daily, and minute close prices of the OMX Stockholm 30 Index. LÄS MER

  3. 7. Predicting Cryptocurrency Prices with Machine Learning Algorithms: A Comparative Analysis

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Harsha Nanda Gudavalli; Khetan Venkata Ratnam Kancherla; [2023]
    Nyckelord :Bitcoin; Cryptocurrency; Machine Learning;

    Sammanfattning : Background: Due to its decentralized nature and opportunity for substantial gains, cryptocurrency has become a popular investment opportunity. However, the highly unpredictable and volatile nature of the cryptocurrency market poses a challenge for investors looking to predict price movements and make profitable investments. LÄS MER

  4. 8. Dataset characteristics effect on time series forecasting : comparison of statistical and deep learning models

    Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Adam Ahlman; Adam Taylor; [2023]
    Nyckelord :Time Series; Forecasting;

    Sammanfattning : Time series are points of data measured throughout time in equally spaced periods. They present characteristics such as level, noise, trend, seasonality, and outliers. Time series forecasting is the attempt to predict single or multiple future values. LÄS MER

  5. 9. Artificial Neural Networks for Financial Time Series Prediction

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Dana Malas; [2023]
    Nyckelord :artificial neural networks; time series analysis; deep learning; finance; long short-term memory; simple moving average;

    Sammanfattning : Financial market forecasting is a challenging and complex task due to the sensitivity of the market to various factors such as political, economic, and social factors. However, recent advances in machine learning and computation technology have led to an increased interest in using deep learning for forecasting financial data. LÄS MER

  7. 10. Ocean rogue wave analysis for the development of safer navigation systems. : A Thesis submitted to the University of Gävle for the degree of Bachelor of Mathematics

    L3-uppsats, Högskolan i Gävle/Matematik

    Författare :Sergio Manzetti; [2023]
    Nyckelord :;

    Sammanfattning : Rogue waves are unexpectedly high waves of 2.5X the significant wave height and which occur in nearly all phases of nature, from  oceans, to fiber-optic cables and atmospheric air-masses. In the ocean, rogue waves pose a significant danger to shipping and fishing vessels and have been found to reach 27. LÄS MER